20070301Year Two Final Report.pdf

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BARTON L. KLINE
Senior Attorney iJTiL l;:Lf\.
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February 28 , 2007
Jean D. Jewell, Secretary
Idaho Public Utilities Commission
472 West Washington Street
P. O. Box 83720
Boise, Idaho 83720-0074
Re:Case No. IPC-06-
2006 Time-of-Day and Energy Watch Pilot Programs
Year Two Final Report
Dear Ms. Jewell:
In compliance with Commission Order No. 30037 issued on May 9 2006 , in the
above referenced case, Idaho Power Company herewith submits an original and seven (7)
copies of the 2006 Time-of-Day and Energy Watch Pilot Programs Year Two Final Report.
This report includes an analysis of the usage and billing data of the Pilot Program
participants conducted by RLW Analytics and the results of a survey of the participants by
Clearwater Research , Inc.
If you have any questions regarding this Final Report , please direct them to Maggie
Brilz at 388-2848.
Very truly yours(W/~Barton L. Kline
BLK:sh
Enclosures
O, Box 70 (B3707)
1221 W. Idaho St,
Boise, 10 83702
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IDAHO
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2006 TIME-OF-DA Y AND ENERGY WATCH PILOT PROGRAMS
YEAR TWO FINAL REPORT
INTRODUCTION
During the summer of 2005, Idaho Power Company (Idaho Power or the Company) implemented the
Energy Watch (EW) and Time-of-Day (TOD) Pilot Programs for residential customers in the Emmett
Valley.! These time-variant pricing programs offered customers with Advanced Meter Reading (AMR)
capability the opportunity to reduce their electric bills during the summer months by shifting some of
their usage to lower priced time periods. The goal of both programs was to determine whether time-
variant pricing was effective in changing customer energy use behavior, and results were tracked to
determine whether or not the Pilot Programs triggered a reduction in peak loads during the summer
months. By offering the TOD and EW Pilot Programs, Idaho Power was able to design, test, and
implement program marketing plans, internal company processes, and workflow procedures. The results
from the summer of 2005, including the results from a customer survey conducted by Northwest Research
Group, Inc., and an impact evaluation conducted by RL W Analytics, were filed with the Idaho Public
Utilities Commission (the Commission) on March 29,2006.
Following the Pilot Program operation during the summer of 2005, Idaho Power requested to extend the
Pilot Programs through the summer of 2006 through an application filed with the Commission on March
2006 (Case No. IPC-06-05). The Commission approved Idaho Power s request in Order No. 30037
issued on May 9, 2006 and the programs were offered for a second summer. By extending the Pilot
Programs, and gathering data for the summer of 2006, Idaho Power was able to compare 2005 and 2006
data and investigate customer response to and satisfaction with the programs, while evaluating the impact
of the programs on peak loads and customer bills.
In the fall of 2006, Idaho Power contracted with Clearwater Research, Inc. to conduct a full-service
telephone survey among Idaho Power residential customers in Emmett, Idaho who participated in one of
the two Pilot Programs during the summer of 2006. The overall objective of the survey was to determine
customer satisfaction with the TOD and EW pricing programs and to identify any actions customers took
to change their energy use behavior. In December, Clearwater Research presented the survey results in a
report titled Idaho Power Emmett Study Year Final Report (Attachment A).
To perform the impact evaluation of the two Pilot Programs, Idaho Power contracted with RL W Analytics
(RL W). The impact evaluation was used to determine the effects of the programs on customers' peak
loads, energy consumption, and monthly bills. In December, 2006, RLW delivered its evaluation titled
2006 Analysis of the Residential Time-of-Day and Energy Watch Pilot Programs Final Report
(Attachment B).
I The Commission approved the Time-of-Day and Energy Watch Pilot Programs on March 22, 2005 through Order
No. 29737 (Case No. IPC-05-02),
Final Report
2006 time-of-Day and Energy Watch Pilot Programs Februar 2007
TIME-OF-DA Y PROGRAM
The 2006 Time-of-Day Pilot Program had three pricing blocks during the summer months of June, July,
and August. The following are the different rates customers were charged for each time period during the
summer of 2006:
On-peak ($0.083279): Weekdays from 1 pm to 9 pm
Mid-peak ($0.061060): Weekdays from 7 am to 1 pm
Off-Peak ($0.045145): Weekdays from 9 pm - 7 am, and all hours weekends and holidays
For the 2006 program, the differential between the off-peak and the on-peak rates was increased
from 30 percent to 80 percent in order to increase the fmancial incentive for customers to shift their
energy usage. The prices for 2006 were also adjusted to reflect the results of the Commission
Order No. 30035 in the Company s general rate case proceeding, Case No. IPC-05-28.
ENERGY WATCH PROGRAM
Traditional critical peak pricing programs typically overlay critical peak pricing on top of a time-of-use
pricing structure. Idaho Power s EW Pilot Program was a simplified critical peak pricing program. For
all hours other than during EW events, participants paid a flat energy rate during the months of June, July,
and August. During an EW event, participants paid a significantly higher rate. EWevents were called on
ten weekdays between June 15 and August 15, between the hours of 5:00-9:00 p.
The electricity rate for participants during EW events increased to 201i per kWh. For all hours outside
EW events, participants paid an energy rate equal to the 0-300 kWh energy rate under Schedule 1. Idaho
Power s standard summer residential rate under Schedule 1 is 5.431i per kWh for 0-300 kWh and 09361i
per kWh for all usage greater than 300 kWh. Customers were able to track their daily energy usage in
Idaho Power s Nexus online system to assist them in better understanding their energy
consumption for a particular day. By tracking their daily energy usage, customers were able to see
whether or not the usage changes they made on EW event days had an impact on their overall
energy consumption.
EW participants were notified of EW events by telephone and email (where available) by 4:00 p.m. the
day preceding an EW event. Idaho Power utilized an autodialing system with live operators for the
notification call for the flfst three EW events. If contact was not made with the first call, live operators
called a second time, for the flfSt three EW events. After the first three events, Idaho Power utilized its
autodialing system with an automated message. The autodialing system also delivered recorded messages
for up to two successive calls if personal contact with a participant was not made.
PROGRAM ENROLLMENT
The TOD Pilot Program had 85 participants as of August, 2006. Seventy-one of the 85 participants
during 2006 also participated in the Pilot Program during 2005. Fourteen new customers enrolled in the
Pilot Program for 2006 while 18 customers who were enrolled in the TOD Pilot Program ii12005 dropped
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Final Report
2006 time-of-Day and Energy Watch Pilot Programs Februar 2007
out prior to the summer of 2006. No customers who enrolled in the TOD Pilot Program for the summer of
2006 canceled their enrollment prior to August 31.
There were 68 participants in the EW Pilot Program as of August, 2006. Fifty-two of the 68 EW
participants also participated in the Pilot Program during 2005. Sixteen new customers enrolled in the
EW Pilot Program for 2006. There were 21 EW customers who were enrolled in the Pilot Program
during 2005 that dropped out prior to the summer of 2006. Seven customers who enrolled in the EW
Pilot Program for the summer of 2006 canceled their enrollment prior to August 31 , compared to 4
cancellations in 2005. Customers who canceled their enrollment prior to August 31 were not counted as
participants in the final results.
PROGRAM OPERATIONAL ISSUES
Several operational issues that required more manual intervention in the operation of the EW and TOD
Pilot Programs than initially anticipated during 2005 continued to be unresolved during 2006. The Meter
Data Management System (MDMS) utilized to validate, estimate, and aggregate the AMR hourly meter
usage data to be passed to Idaho Power s Customer Information System (CIS) did not pass acceptance
testing during 2006. As a result it was necessary to manually check the data for accuracy and manually
enter this information into the CIS in order for customers to be billed. In addition, a limitation of the CIS
requires that the meter type for each customer participating in the Pilot Programs be reconfigured to
accept time-variant consumptive values rather than traditional monthly subtractive meter readings.
Currently this process, referred to as a 'virtual' meter exchange, is manual and no automated means exits
to reconfigure the meter type without a modification to the CIS. Both of these manual processes must be
overcome in order to make these programs more scalable and cost effective in the future and to insure
accurate and timely billing and a high level of customer satisfaction.
Idaho Power will continue to focus on resolving internal issues related to the offering of the TOD and EW
programs. Work will continue with the vendor of the MDMS to complete the installation with the
expectation that the MDMS will pass acceptance testing in 2007. In addition, Idaho Power will
investigate cost-effective modifications to the CIS to reduce the amount of manual intervention needed to
manage customer movement onto and off of the time-variant pricing programs now required for the
virtual meter exchange.
PROGRAM RESULTS
In the fall of 2006, Idaho Power contracted with Clearwater Research, Inc. to conduct a survey to
determine customer satisfaction with the TOD and EW Pilot Programs. Idaho Power also wanted to
confirm whether or not the Pilot Programs had any effect on customer behavior, based on customer
feedback and perception, whether customers used any devices to help facilitate changes in energy usage,
and potential interest in future participation. The survey targeted all 153 customers participating in either
program at the end of August, 2006. A total of 102 surveys with participants were completed.
In comparing 2005 and 2006 survey results, several observations can be made. In the 2006 study, 84
percent of the EW participants and 75 percent of the TOD participants indicated they changed the way
they used electricity as a result of participating in the Pilot Programs. In 2005, only 56 percent of Energy
Watch participants and 39 percent of TOD participants said participating in the programs had affected
Page 3 of 4
Final Report
2006 time-of-Day and Energy Watch Pilot Programs Februar 2007
their lifestyle. Another shift from 2005 to 2006 was an increase in interest in continuing participation
another year. In 2006, 67 percent of EW customers stated they were very likely to participate in the
program another year versus 62 percent of 2005 EW customers. TOD customers also saw an increase in
the likelihood to participate in the program another year. In 2006, 68 percent of TOD customers said they
were very likely to participate in the program another year. At the end of 2005, 58 percent of TOD
customers said they were very likely to participate in the program the following year.
For 2006 survey results, see Clearwater Idaho Power Emmet Study Year Two Final Report (Attachment
A).
In the fall of 2006, Idaho Power contracted with RL W Analytics to validate the hourly data and to
evaluate the peak impacts, energy impacts, and bill impacts for TOD and EW participants. RL W also
analyzed weather data to determine the relationship between weather and peak reduction for the Pilot
Programs.
In order to analyze the impacts of the TOD and EW Programs, RL W used the same control group for each
program that was selected for the 2005 analysis. The control groups were selected by examining the
correlation between the Pilot Program participants and customers in the control group pool during the
summer of 2004. A control group of approximately five "similar" customers was selected for each Pilot
Program participant. Included in RL W's analysis are comparisons for the control and test groups.
The load shifting impacts among the TOD and EW participants for 2006 are comparable to those for
2005. For both 2005 and 2006, the change in load for the TOD participants compared to the test group
was not statistically significant. However, the load shifting impact for both years was statistically
significant for the EW participants.
For the results of RL W' s analysis, see Residential Time-of-Day and Energy Watch Pilot Pro gram
Analysis Final Report January 2006 (Attachment B).
FUTURE OF THE TlME-OF-DAY AND ENERGY WATCH PROGRAMS
The TOD and EW Pilot Programs have provided the Company with valuable information regarding
customers' response to time-variant energy pricing. The information gathered during the two-year period
during which the programs have been in effect, including customer survey information, data analysis, and
information obtained from speaking directly to program participants, indicates that most customers were
highly satisfied with the TOD and EW Pilot Programs during both the 2005 and 2006 Pilot Program years
and would be likely to participate in the future. In order to enable the Company to continue evaluating,
testing, and refining both time variant pricing offerings and the data transfer, billing, and customer issues
related to these optional programs, Idaho Power intends to offer the TOD and EW programs to residential
customers in the Emmett Valley on an on-going basis. The Company expects to file an Application with
the Commission in the near future requesting authority to implement these optional programs beginning
in the summer of 2007.
Page 4 of 4
ATTACHMENT
ft,f'.! IDACOF?P::;omp..uly
Idaho Power Company
2006 Analysis at the Residential Time-at-Day and
Energy Watch Pilot Programs
Final Report
December 2006
Prepared for
Idaho Power Company
Prepared by
RLW Analytics
2 Hyde Road
Clarklake, MI 49234
517 529 6277
RlW Analytics: Sonoma CA. Middletown CT . Clark lake MI. Albany NY
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2006 Analysis at the Residential Time-at-Day andOu ll L...J LU (;1 ':' '-t
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Table of Contents
Executive Summary ....................................................................................................1.1 Summary of Results: Time-of-Day Pilot..............................................................1.2 Summary of Results: Energy Watch Pilot .............................................................
Introduction ................................................................................................................
Pilot Programs......................................................................................................
Project Objectives ................................................................................................
Data Availability ..................................................................................................
Temperature Data.................................................................................................
IPCO System Load Data.......................................................................................
Time-of- Day (TOD) Pilot Evaluation .........................................................................
TOD Pilot Program Participants .........................................................................
TOD Control Group Participants ........................................................................
2006 Time-of- Day Results...........................
..................................................... ..
Average Weekday and Weekend Day Comparisons........................................ 11
Monthly and Seasonal Energy Use .................................................................
System Peak Demand Reduction ....................................................................
Bill Comparisons............................................................................................
Energy Watch Pilot (EW) Evaluation ......................................................................
Critical Peak Pricing Events............................................................................... 17
Energy Watch Pilot Program Participants........................................................ ...
EW Control Group Participants ..........................................................................4.4 2006 Energy Watch Pilot Results........................................................................ 19
4.4.2006 Energy Watch Pilot Summary............................................................... .
4.4.Event Day: Thursday, June 29, 2006 ..............................................................
4.4.Event Days: Tuesday, July 11 2006 and Friday, July 14 2006........,..............
4.4.4 Event Days: Tuesday, July 18, 2006 and Wednesday, July 19, 2006...............
4.4.Event Days: Tuesday, July 25,2006 and Thursday, July 27,2006...................
4.4.Event Day: Thursday, August 3, 2006 ............................................................
4.4.Event Day: Wednesday, August 9,2006................................,........................
4.4.Event Day: Tuesday, August 15, 2006............................................................
Event Day Summary............................................................,......................... 30
4.4.10 Energy Watch Bill Comparisons................................................................ 32
Appendix A - Residential Rate Schedules Effective June 1,2006...........................
RL W Analytics Page i
Idaho Power Company
2006 Analysis at the Residential Time-at-Day and
Energy Watch Pilot Programs
Final Report
List at Tables
Table Ex 1 - Time-Of- Day Summary Results........................................................................
Table Ex 2 - Time-of-Day Bill Comparisons.........................................................................
Table Ex 3 - Energy Watch Program Summary,................................................. ..................
Table Ex 4 - Energy Watch Bill Comparisons ............................. ..........................................
Table 1 - IPCO System Peak Information .............................................................................
Table 2 - Average Demand and Energy Usage Characteristics ............................................
Table 3 - 2005 Time-of-Day Usage Comparisons ...............................................................
Table 4 - T-Test Analysis Results .......................................................................................
Table 5 - Time-of- Day Bill Comparisons.......................................................................... ..
Table 6 - Critical Peak Pricing Event Days .......................,........................,........................
Table 7 - Energy Watch Pilot Summary.............................................................................. 20
Table 8 - Energy Watch Bill Comparisons ..........................................................................
Table 9 - Summary of Residential Rates .............................................................................
RL W Analytics Page ii
Idaho Power Company
2006 Analysis at the Residential Time-at-Day and
Energy Watch Pilot Programs
Final Report
List at Figures
Figure Ex 1 - Average Weekday Comparison .......................................................................
Figure Ex 2 - Energy Watch Program - Average Impacts .....................................................4
Figure 1 - Hourly Temperature Data..................................................................................... 8
Figure 2 - IPCO System Load...............................................................................................
Figure 3 - Non-Summer versus Summer System Peaks .........................................................
Figure 4 - Residential TOD Average Demand...........................,......................................... 10
Figure 5 - TOD Control Group ...........................................................................................
Figure 6 - 2005 Average Weekday Comparisons................................................................. 12
Figure 7 - 2005 Average Weekend Comparisons................................................................. 12
Figure 8 - 2006 Average Weekday Comparisons: Normalized............................................. 13
Figure 9 - System Peak Reduction ......................................................................................
Figure 10 - Normalized System Peak Demand.................................................................. ..
Figure 11 - Energy Watch Pilot Participants....................................................................... .
Figure 12 - CPP Event Days .........................................................................."...................
Figure 13 - EW Control Group ..............................................................................,............
Figure 14 - Energy Watch Pilot: Week of June 25, 2006.....................................................
Figure 15 - Event Day Impacts: Thursday, June 29,2006................,...................................
Figure 16 - Energy Watch Pilot: Week of July 9,2006.......................................................,
Figure 17 - Event Day Impacts: Tuesday, July 11 , 2006......................................................
Figure 18 - Event Day Impacts: Friday, July 14, 2006.........................................................
Figure 19 - Energy Watch Pilot: Week of July 16,2006......................................................
Figure 20 - Event Day: Tuesday, July 18, 2006.........................................................,.........
Figure 21- Event Day: Wednesday, July 19, 2006..............................................................
Figure 22 - Energy Watch Pilot: Week of July 23, 2006... ...................................................
Figure 23 - Event Day: Tuesday, July 25,2006..............................,....................................
Figure 24 - Event Day: Thursday, July 27,2006.................................................................
Figure 25 - Energy Watch Pilot: Week of July 31 2006......................................................
Figure 26 - Event Day: Thursday, August 3,2006...............................................................
Figure 27 - Energy Watch Pilot: Week of August 6,2006...................................................
Figure 28 - Event Day: Wednesday, August 9,2006...........................................................
Figure 29 - Energy Watch Pilot: Week of August 13, 2006.................................................
Figure 30 - Event Day: Tuesday, August 15,2006..............................................................
Figure 31 - Event Day Summary.................................,.,...........................................,......... 31
Figure 32 - EW Reduction versus Temperature...................................................................
Figure 33 - Average of All Event Days ...............................................................................
RLW Analytics Page iii
Idaho Power Company
2006 Analysis at the Residential Time-at-Day and
Energy Watch Pilot Programs
EXECUTIVE SUMMARY
The Time-of-Day (TOD) and Energy Watch (EW) Pilot Programs were approved by the Idaho
Public Utilities Commission (IPUC) on March 22, 2005. The results for 2005 were reported in
Analysis Residential Time-of-Day and Energy Watch Pilot Program dated January 2006. The
programs were renewed in effect from June 1 to August 31, 2006. The goal of both programs is to
test the ability of the AMR system to enable Idaho Power Company (IPCO) to offer time-variant
programs and to ascertain the ability of these programs to reduce peak loads during the summer
months. Offering these programs allowed IPCO to design, test, and implement program marketing
plans, internal company processes, and workflow procedures. These programs were offered only to
residential customers in the Emmett, Idaho area.
1 Summary of Results: Time-of-Day Pilot
Time-of-Day is a conventional time-of-use energy program in which participants are charged
differing electricity rates for the following times and days of the weeks:
. On-peak ($0.083279): Weekdays from 1pm to 9pm
. Mid-peak ($0.061060): Weekdays from 7am to 1pm
. Off-Peak ($0.045145): Weekdays from 9pm - 7am, and all hours weekends and holidays
At the end of August 2006, there were 85 Time-of-Day pilot program participants with 83 having
complete data for analysis. The analysis was based on interval hourly load data collected through
the advanced meter reading (AMR) system for the Time-of-Day test participants and a large
matched control group sample.
Average Weekday Comparisons
June July August
ION ION
1.5
1.0
0 -r-
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i' 1.5
06,00 12:00 18,00 00:00
Hour Ending
06:00 12:00 18:00 00:00 06,00 12,00 18:00 00,00
Hour Ending Hour Ending
B: Test Sample. TOO
0: Control Group. TOO
Figure Ex 1- Average Weekday Comparison
Figure Ex 1 presents a series of graphs comparing the average weekday demand for the test group
(i.e., Time-of-Day) customers and their control group counterparts. The graph indicates the
average demand per customer during the average weekday period is actually higher for the test
RL W Analytics Page 1
Residential Time-of-Day
Energy Watch Evaluations
group customers when compared to the control group. However, a close examination of the
average weekday load profile indicates a slight increase in load immediately following the on-
peak period (i.e., at hour ending Wpm) for the time-of-day test group that is not evident in the
control group.
Table Ex 1 summarizes the energy usage associated with the test group and control group by
time-of-use period. The table displays the average energy usage by month and for the entire
summer along with the percentage of average total use within each time-of-use period. In
addition, the table presents the difference between the control group usage and the test group
usage with positive numbers indicating that the test group used less energy than the control group
in that particular period. Finally, the table includes the results of a statistical T-test that tests the
hypothesis that the difference is statistically equal to zero. The T -test statistic along with the
probability of getting a larger T-value is presented. The difference is deemed statistically
significant at the 10% level if the PR:;:.ITI is less that 0.1000. During the summer of 2006 the test
group on average used 37 kWh more during the on-peak period and 146 kWh more during the
off-peak period. On a percentage of total use basis, the control group used 21.8% of their total
seasonal energy during the on-peak period compared to 21.6% for the test group.
Average Use (kWh)Percent of Total Use
Control TaD Test Control TaD Test Control-TaD
Period (n=419)(n=83)(n=419)(n=83)Difference Value PR::-ITI
June Usage
On-Peak 211.53 225.21.7%21.6%(13,56)(0,86)0.3903
Mid-Peak 175,184,18,17,(8.48)(0,65)5185
Off-Peak 585,633.60.60.(47,82)(1.13)2577
June Usage 973.042,100,100,(69,86)(1,3047
July Usage
On-Peak 288,306,20.20,(18,07)(0,87)3842
Mid-Peak 200.32 210,14,14,(10.66)(0,71)0.4778
Off-Peak 896,964,64,65.(67,70)(1.1 0)2702
July Usage 385.1 ,482.100.100,(96.43)(1,03)3038
August Usage
On-Peak 263.15 267,23,22.(4,83)(0.26)7984
Mid-Peak 192.31 195,17,16,(3,29)(0,23)8147
Off-Peak 678,709,59,60,(30,26)(0,70)0.4860
August Usage 1, 134.41 172.79 100.100,(38,38)(0,53)5983
Summer Usage: June - August
On-Peak 763,799,21.8%21.6%(36.46)(0,66)5091
Mid-Peak 568.37 590.16,16,(22.43)(0,52)6041
Off-Peak 161.70 307.48 61.9%62.4%(145,78)(0.99)3212
Summer 06 Usage 493,697,100.100.(204,67)(0,87)3852
Table Ex 1 - Time-Of-Day Summary Results
Table Ex 2 presents a comparison of customer bills developed for the test group and control
group participants under Rate Schedule! 1 (Standard) and Rate Schedule 5 (TOD). The table
presents the mean and median bills for each group. For both groups, the average Time-of-Day
bill is slightly lower than the standard residential bill. However, if we compare the control group
under the standard bill and the Time-of-Day group under the TOD bill we see that the Time-of-
1 A summary table of the rates is provided as a technical appendix to this report,
RLW Analytics Page 2
Residential Time-of-Day
Energy Watch Evaluations
Day group saved $1.57 for the three-month period. This is a reduction of less than 1 % from the
standard residential rate.
TOD Control Group Sample n=4l9 Customers
June July August June Through August
TOD Standard TOD Standard TOD Standard TOD Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates TOD-STd
Mean $55,$57,$75,$81.51 $64.$67,$194,$206,($11.45)
Median $49.$51.22 $68,$72.83 $56,$59,$175.32 $183,($3.48)
Test Group Sample n=83 Customers
June July August June Through August
TOD Standard TOD Standard TOD Standard TOD Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates TOD-STd
Mean $58,$61.79 $80,$87,$65,$69,$204,$217.31 ($12,80)
Median $48.$51.64 $70,$74,$57,$60.46 $172.74 $183,($10.63)
Control Group Sample n=419 Customers and Test Group n=83 Customers
June July August June Through August
Test Control Test Control Test Control Test Control Difference
Statistic TOD Rate Std Rate TOD Rate Std Rate TOD Rate Std Rate TOD Rate Std Rate TOD-Std
Mean $58.$57,$80,$81.51 $65,$67,$204,$206,($1.57)
Table Ex 2 - Time-of-Day Bill Comparisons
1.2 Summary of Results: Energy Watch Pilot
Energy Watch is a critical peak pricing pilot program with 68 participants under which the
participants receive notification the day before a critical peak event is called. The 2006 analysis
was based on 66 participants with complete data. A total of ten Energy Watch days per year can be
called between the dates of June 15th and August 15th, The critical peak events have the following
characteristics:
Critical peak price (CPP) hours are from 5pm to 9pm
All customers subject to CPP hours are provided day ahead notification
CPP energy price is $0.20 per kWh
Non-CPP energy price is $0.054251 per kWh
The Energy Watch impact evaluation utilized interval load data available for the test group
participants and for a large matched control group. The Energy Watch participants showed
dramatic reductions during the critical peak pricing events. Figure Ex 2 presents the average of all
ten event days for the test group (red line) and control group (black line). In aggregate, the
maximum average load reduction per customer of 1.29 kW occurs at hour ending 8pm with the
average load reduction calculated as 1.26 kW. The total savings during the curtailment period is
estimated to be 5.03 kWh per customer. The morning increase on the curtailment days is evident
from the figure and averages about 0.1 kW.
RLW Ana/ytics Page 3
Residential Time-of-Day
Energy Watch Evaluations
Average of All Event Days
Roo"Coo"ol To.S"mg'
1.36 1.20
1.20 1.08
Curtail"",n! Parformanca Graph
A VG CPP Evonls, Tast EWP
1.06 1.03
1.21
1.41
1.50 1.59
1.60 1.72
--.-
1.75 1.81
1.90 1.93
201 203
215 211
227 217
241 217
B".h"A,""c::::::J E"'oy S'""g'
246 1.31 1.15
254 1.28
250 1.20 1.29
238 1.2!
0600 '200 1800 0000
:1.37
213
1.69
210
210
1.62
Figure Ex 2 - Energy Watch Program - Average Impacts
Table Ex 3 presents a summary of the ten Energy Watch event days. As indicated, substantial
load is reduced by the Energy Watch participants during the critical peak pricing events on every
single event day. The maximum hourly load reduction per participant was 1.70 kW which
occurred on July 27, 2006 at hour ending 8pm. The average hourly demand reduction had a
fairly wide range. The average demand reduction ranged from a low of 0.64 kW on June 29,
2006 to the previously reported high of 1.70kW on July 27, 2006.
Hour Hour Event Day Reductions (kW)
Beginning Ending 29-Jun 1I-Ju1 14-Jul 18-Jul 19-Ju1 25-Jul 27-Ju1 Aug Aug 15-Aug Average
5pm 6pm 1.31 1.09 1.39 1.20 1.33 1.58 1.14 1.02 1.17
6pm 7pm 1.50 1.17 1.43 1.32 1.45 1.62 1.27 1.14 1.15 1.29
7pm 8pm 1.58 1.16 1.57 1.41 1.55 1.70 1.24 1.02 1.33
8pm 9pm 1.48 1.11 1.47 1.27 1.40 1.60 1.13 1.25
Four-Hour Total
Average Hourly 1.47 1.13 1.46 1.30 1.43 1.62 1.19 1.01 1.26
Minimum Temp
Maximum Temp 100 104
Average Temp
Table Ex 3 - Energy Watch Program Summary
Table Ex 4 presents a comparison of customer bills developed for the Energy Watch test group
and control group under Rate Schedule 1 (Standard) and Rate Schedule 4 (EW). The table
presents the mean and median bills for each group. For both groups, the average Energy Watch
bill is slightly lower than the average standard residential bill. This is an indication that applying
this rate to the larger group results in customer savings without associated action. However, the
Energy Watch group was successful in saving substantially more than their control group
counterparts. Comparing the Energy Watch participant bills to the control group standard bills
result in a savings of $24.74 for the three summer months. This is nearly a 12% reduction from
the average standard bill.
RLW Analytics Page 4
Residential Time-of-Day
Energy Watch Evaluations
EW Control Group Sample n=355 Customers
June July August June Through August
Standard Standard Standard Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates EWP-Std
Mean $55,$59,$84.49 $82,$67,$69,$207,$211.13 ($4,01)
Median $51.74 $55,$78,$77 ,$62.45 $64,$195.$197,($2.49)
Test Group Sample n=66 Customers
June July August June Through August
Standard Standard Standard Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates EWP-Std
Mean $53.45 $57.46 $72.77 $75.43 $61.28 $64.$186,$196.44 ($10,05)
Median $50.40 $54,$64,$64,$59,$61.88 $166,$175,($7,73)
Control Group Sample n=355 and Test Group Sample n=66 Customers
June July August June Through August
Test Control Test Control Test Control Test Control Difference
Statistic EWRate Std Rate EW Rate Std Rate EW Rate Std Rate EW Rate Std Rate EW-Std
Mean $53.45 $59,$72.77 $82,$61.28 $69.$186.$211.13 ($24,74)
Table Ex 4 - Energy Watch Bill Comparisons
RL Analytics Page 5
Idaho Power Company
Residential Time-at-Day and
Energy Watch Pilot Program Analysis
Final Report
INTRODUCTION
Pilot Programs
The Time-of-Day (TOD) and Energy Watch (EW) Pilot Programs are the result of the Advanced
Meter Reading (AMR) Phase One Implementation Plan filed with the Idaho Public Utilities
Commission (IPUC) in December 2003. The Time-of-Day and the Energy Watch pilot programs
are aimed at testing the reduction in residential summer peak loads in the Emmett area by using
time-variant pricing. Both pilot programs were initially approved by the IPUC on March 22 2005.
The results of the 2005 programs were reported in January, 2006. Following the summer of 2005,
at the request of Idaho Power Company, the IPUC approved extending the programs through the
summer of 2006. The goal of both of these programs is to test the ability of the AMR system, to
enable Idaho Power Company to offer time-variant programs, and to ascertain the ability of these
programs to reduce peak loads during the summer months. Offering these programs allows Idaho
Power to design, test, and implement program marketing plans, internal company processes, and
workflow procedures. These programs are offered only to residential customers in the Emmett area.
Time-of-Day is a conventional time-of-use energy program in which participants are charged
differing electricity rates for the following times and days of the weeks:
On-peak ($0.083279): Weekdays from 1pm to 9pm
Mid-peak ($0.061060): Weekdays from 7am to 1pm
Off-Peak ($0.045145): Weekdays from 9pm - 7am, and all hours weekends and holidays
The Time-of-Day pilot program had 85 participants as of August, 2006. This analysis is based on
usable data from 83 participants.
Energy Watch is a critical peak pricing pilot program under which the participants receive
notification the day before a critical peak event is called. By the end of the summer of 2006, there
were 68 participants. This analysis is based on usable data for 66 participants. A total of ten
Energy Watch days per year can be called between the dates of June 15th and August 15th. The
critical peak events have the following characteristics:
Critical peak price (CPP) hours are from 5pm to 9pm
All customers subject to CPP hours are provided day ahead notification
CPP energy price is $0.20 per kWh
Non-CPP energy price is $0.054251 per kWh
Project Objectives
The primary goal of both programs is to test the effectiveness of time-variant programs in
reducing peak summer loads. The evaluations are designed to analyze the impact of these
programs on participants ' loads, energy consumption , and on customer bills. In particular, the
following variables are in play:
RLW Analytics Page 6
Residential Time-of-Day
Energy Watch Evaluations
1. Demand reduction at the IPCO summer system peak period;
2. Energy conservation impacts across the summer season;
3. Change in energy use between the on-peak, mid-peak and off-peak periods;
4. Reduction in energy use during critical peak periods;
5. Temperature impacts on peak load reduction; and
6. Customer bill impacts.
Data Availability
The two pilot programs that require evaluation are aimed at reducing summer peak loads in the
Emmett area. This area includes approximately 6,000 residential meter service points.
Effectively, interval load data are available for all residential end users in the Emmett operating
area beginning in May, 2004. The data are being collected using the Company s TW ACS
(!)
Advanced Meter Reading (AMR) System. This evaluation is based on information provided by
Idaho Power for 83 of the 85 Time-of-Day customers and 66 of the 68 Energy Watch customers
who participated in the program through August 31 , 2006.
2.4 Temperature Data
Figure 1 presents the hourly temperature data available from the Boise weather station from June
, 2005 through August 31 , 2006. The figure displays a conventional two-dimensional rendition
of the hourly temperature (i.e., time on the x-axis and temperature on the y-axis) along with an
EnergyPrint at the bottom of the figure. The EnergyPrint displays the temperature in three
dimensions. For the horizontal EnergyPrint, time is represented on the y-axis, the day of the year
is represented on the x-axis and the hourly temperature is presented as a color gradient with low
temperatures in the black-blue spectrum and high temperatures in the yellow-white spectrum.
5 IPCO System Load Data
Figure 2 presents a graphical representation of the IPCO system load. The load is clearly summer
sensitive with the highest loads occurring between mid-June and mid-September. Similar to
Figure 1 , the figure displays a conventional two-dimensional rendition of the load (i.e., time on
the x -axis and magnitude of load on the y-axis) along with an EnergyPrint at the bottom of the
figure. For the horizontal EnergyPrint, time is represented on the y-axis, the day of the year is
represented on the x-axis and the load is presented as a color gradient with low levels of load in
the black-blue spectrum and high levels of load in the yellow-white spectrum. The EnergyPrint
shows an interesting overview of the data for the period June 1 , 2005 through August 31 , 2006.
RLW Analyt;cs Page 7
Residential Time-of-Day
Energy Watch Evaluations
Hourly Temperature
2005 2005
J"05 Ct'05 Jan 06
LocaJ"""
""'06 J"06
~~'
I,':.,0 "","""","""'.00.""
.."""""""""""
~ o. e,"", T~,," ,s ,~
11111111
Hi Ie Lo
Figure 1 - Hourly Temperature Data
pca System Load
2005.
J"1O5 S'p 05 "" 05 J~ 06 M" 06 M" 06 J"' 06 S'p 06
Loo""m'
,. T
""
J,o"""""""""oo.J""""",",,"'y'~""'"
. """" "CO.S '0"". ."',I'III~I! \ 11~\11
Figure 2 - IPCO System Load
Table 1 presents selected demand and energy characteristics for the IPCO system peak. The table
presents the monthly energy use, timing of the system peak demand, the system peak demand and
the load factor. Summary statistics are provided for the period 12-months ending August 31,
2006. During this period, the IPCO system peaked at a demand of 3,084MW on Monday, July
, at hour ending 6pm. In contrast the non-summer peak reached a demand of 2 345 MW and
occurred on Thursday, December 15,2005 at hour ending 8am.
RLW Analytics Page 8
Residential Time-of-Day
Energy Watch Evaluations
Monthly Peak Average Load
Energy Use System Peak Load Demand Demand Factor
Month (MWh)Maximum At (MW)(MW)
(%)
Jun-272 357 Tue Jun 21 2005 4:00PM 622 767 67,
Jul-641 727 Fri Jul 22, 2005 4:00PM 961 207 74,
Aug-538 801 Tue Aug 9,2005 5:00PM 815 068 73,
Sep-1,190 787 Thu Sep 8, 2005 6:00PM 394 654 69.
Oct-050,358 Wed Oct 5, 2005 8:00AM 746 412 80,
Nov,137 344 Moll Nov 28 2005 8:00AM 063 580 76,
Dec,354 727 Thu Dec 15 2005 8:00AM 345 821 77.6%
Jan-250 134 Wed Jan 25 2006 8:00AM 079 680 80,
Feb-118 767 Thu Feb 16, 2006 8:00AM 2,144 665 77.7%
Mar-139,815 Fri Mar 10 2006 9:00AM 946 532 78,
Apr-987 133 Thu Apr 6, 2006 8:00AM 740 373 78,
May-252 068 Wed May 17 2006 7:00PM 552 683 65.
Jun-455 504 Tue Jun 27 2006 6:00PM 050 022 66,
Jul-752 325 Moll Jul 24, 2006 6:00PM 084 355 76.4%
Aug-546 019 Moll Aug 7, 2006 6:00PM 914 078 71.3%
Sep05-Aug06 234 981 Moll Jul 24, 2006 6:00PM 084 739 56.
Table 1 - IPCO System Peak Information
Figure 3 presents graphs of the non-summer and summer system peaks. The non-summer peak is
bimodal with early morning and early evening peaks of similar magnitude. The summer system
peak shows a substantial amount of summer afternoon load
System Peaks
Non-Summer Summer
Thu,"day Decem"" 2005 MondayJu/y24.2DD5
2800 _on_.-.. -..---..on 2800
3000 3000
2600 --.....
2400
- -.
..- -_on.2600
----
2200
2400
2200
1600
2000
, 1800
-,. ---
1600
-.---- ,---- ,---- ......--
1600
- -
1400 -,--
.-..-.. ---- .-.-,..-
1400
-- -.- -.....-..
1200 .-...1200 .,-..-.
..-......- ._,..
0000 0600 1200 1800 0000 0100 0700 1300 19,00
Local Tim'Locamm,
Figure 3 - Non-Summer versus Summer System Peaks
TIME-OF-DAY (TOD) PILOT EVALUATION
In this section we examine the impact evaluation of the Time-of-Day Pilot program. Time-of-Day
is a conventional time-of-use energy program in which participants are charged differing electricity
rates for the following times and days of the week:
On-peak ($0.083279): Weekdays from 1pm to 9pm
Mid-peak ($0.061060): Weekdays from 7am to 1pm
Off-Peak ($0.045145): Weekdays from 9pm - 7am, weekends and holidays
RL W Analytics Page 9
Residential Time-of-Day
Energy Watch Evaluations
The Time-of-Day impact evaluation uses hourly interval load data in a test-control experimental
design. The test group is comprised of 83 Emmett area customers recruited into the Time-of-Day
pilot program. The control group was developed by statistically selecting customers that were
similar to the pilot participants based on their summer 2004 hourly load.
TOD Pilot Program Participants
Complete data were available for 83 of the 85 pilot program participants and used in the Time-of-
Day Pilot Evaluation. A simple average was constructed for each hour from June 1,2006 through
August 31 , 2006. The average load for the TOD Pilot program participants is displayed in Figure
4. The average demand ranged from a low of 0.72 kW to a high of 3.45 kW.
Residential TaD
June 2006 - August 31 ! 2006
Average Load
June, s.,.Ismber
Tes! Sample
TOD Customer
~'ultiplE! Des_lions
TOD724 ~.
1&'112 18 24
Jun01 Jul01 Aug 01 S'p01
local T;ITO
Figure 4 - Residential TOD Average Demand
Table 2 presents summary information for the residential TOD participants for the 2006 summer
period. The average peak demand is estimated to be 3.45 kW and occurred on Sunday, July 23,
2006 at hour ending 6pm. The average summer energy usage is estimated to be 3,685 kWh
yielding a summer load factor of 48.4%.
Monthly Peak Average Load
Energy Use Time-of-Day Class Peak Demand Demand Factor
Month (kWh)Maximum At (kW)(kW)
(%)
Jun-043 Wed Jun 28, 2006 7:00PM 1.45 45,
Jul-1,476 Sun Jul 23, 2006 6:00PM 3.45 1.98 57,
Aug-166 Mon Aug 7, 2006 6:00PM 3.24 1.57 48.4%
J un06- Aug06 685 Sun Jul 23, 2006 6:00PM 3.45 1.67 48.4%
Table 2 - Average Demand and Energy Usage Characteristics
2 TOD Control Group Participants
To analyze the impacts of the Time-of-Day rate, a control group was selected from the general
population pool of Emmett customers. The control group was determined by examining the
RL Analytics Page 10
Residential Time-of-Day
Energy Watch Evaluations
correlation between the pilot program participants and customers in the control group pool during
the summer of 2004. A control group of five "similar" customers was selected for each pilot
program participant. Details regarding the goodness of fit between the control group and test
group were presented in the 2005 impact evaluation report . The same 2005 control group was
used in this 2006 evaluation. The final control group sample was comprised of approximately
420 sample points.
Figure 5 presents the average load for the summer of 2006 developed for the TOD control group.
The maximum demand for the control group sample was 3.29 kW and occurred on the system
peak day, Monday, July 24, 2006 at hour ending 7pm.
Residential TOO Control Group
June 1, 2006 - August 31, 2006
Average Load
June, Sept..",",
!NY
C""tr()!GfO:JP
TOO
IFCC
TOO
12 IS 24
719
...-.....---.. ,-.,..--..
Jun01 JuJ01 I'iJg01 Sop 01
LocaJ Ti""
Figure 5 - TOD Control Group
2006 Time-or-Day Results
This section presents the findings associated with the Time-of-Day program impact evaluation.
3.3.Average Weekday and Weekend Day Comparisons
Figure 6 and Figure 7 present the average weekday and weekend day comparisons for the control
and test groups. Unlike the 2005 graphs where a load reduction in the afternoon and early
evening periods was evident for the average weekday, the 2006 average weekday graphs show a
higher load for the time-of-day group when compared to the test group. Recall the on-peak
period was defined as weekdays between Ipm and 9pm with mid-peak defined as weekdays
between 7am and Ipm. All other hours were off-peak. Interestingly, the time-of-day group does
show an increase in load on weekdays during the first hour following the on-peak period (i.e.,
lOpm). Similarly, the 2006 average weekend graphs show some higher load for the test group.
2 Residential Time-of-Day and Energy Watch Pilot Program Analysis Filial Reporl January 2006,
RLW Analytics Page 11
Residential Time-of-Day
Energy Watch Evaluations
Average Weekday Comparisons
June July August
1.5 1.5 1.51.0 1.0 1.0
Holl' Ending Holl' Ending
06,00 1200 1800 00,00
Holl' Ending
06,00 12,00 1800 00,00 06,00 12,00 18,00 00,00
B: Test Sample. TOO
0: Control Group. TOO
Figure 6 - 2005 Average Weekday Comparisons
Average Weekend Comparisons
June July August
' 2'0 2.- 2.
1.S 15 1.510 1.0 1
Hour Ending Hom Ending
0600 1200 1800 00,00
Hom Ending
06,00 12,00 18,00 00,00 06,00 12,00 18,00 00,00
B: Test Sample. TOO
0: Control Group. TOO
Figure 7 - 2005 Average Weekend Comparisons
To examine this phenomenon a little closer, the average weekday load profiles were plotted on a
percent of maximum demand basis. These are presented in Figure 8. The June average weekday
profile displays slightly lower loads in the early evening period with a return of load following
the on-peak period. The July and August profiles are nearly identical with a slight increase in
load evident in the time-of-day test group immediately following control.
RLW Ana/yt;cs Page 12
Residential Time-of-Day
Energy Watch Evaluations
Average Weekday Comparisons
(Percent of Maximum Demand Basis)
June July Augusl
%ofMaxkW %olMaxkW %ofMaxkW
'OO%'OOJ'O
ITm
100%00% 00'/0 00%60% 00'/0 60%
--
06,00 12,00 18000 00,00 06,00 12,00 16,00 0000 06,00 12,00 18,00 0000
Ho" Ending Ho" Ending Ho" Ending
B: Test Sample, TOO
0: Control GrouP. TOO
Figure 8 - 2006 Average Weekday Comparisons: Normalized
3.3.Monthly and Seasonal Energy Use
Table 3 presents the on-peak, mid-peak and off-peak energy usage by month and season for the
control and test groups along with the percentage of use in each period and the overall difference.
Average Use (kWh)Percent of Total Use
Control TOD Test Control TOD Test Control-TOD
Period (n=419)(n=83)(n=419)(n=83)Difference
June Usa e
On-Peak 211.53 225,21.7%21.6%(13,56)
Mid-Peak 175,184,18.1 %17,(8.48)
Off-Peak 585,633,60,60.(47,82)
June Usage 973.042,100,100,(69,86)
July Usage
On-Peak 288,306,20,20,(18,07)
Mid-Peak 200.210,14,14,(10,66)
Off-Peak 896,964,64,65,(67,
July Usage 385,1,482,100,100,(96.43
August Usage
On-Peak 263,267,23.22,(4,83)
Mid-Peak 192,195,17,16,(3,29)
Off-Peak 678,709,59,60,00,
August Usage 134.41 172.79 100.100,(38,38)
Summer Usage: June, August
On-Peak 763.799,21.8%21.6%(36.46)
Mid-Peak 568,590.16,16,(22.43)
Off-Peak 161.70 307.48 61.9%62.4%(145,
Summer 06 Usage 3,493.697,100,100.(204,
Table 3 - 2005 Time-of-Day Usage Comparisons
For July, the control group averages approximately 1,386 kWh with 289 kWh consumed during
the on-peak, 200 kWh in the mid-peak and 897 kWh in the off-peak. In contrast, the Time-of-
Day group averages approximately 1 482 kWh with 307 kWh consumed during the on-peak, 211
kWh during the mid-peak and 965 kWh during the off-peak. The percentage of on-peak use for
the control group was 20.8% compared to 20.7% for the Time-of-Day group.
RLW Analytics Page 13
Residential Time-of-Day
Energy Watch Evaluations
To test the significance of the various numbers presented in Table 3, we set up a statistical T-test
to examine the null hypothesis that the various sets of numbers between the control group and the
test group are statistically the same. In the lexicon of statistics, the null hypothesis is that the
control group and test group means are equal (i.e., lL,: Ilcontrol = Iltest) and the alternative hypothesis
is that the control group is not equal to the test group (i.e., Ha: !lcontrol *- Iltest
Average Use (kWh)Percent of Total Use
Control TOO Test Control TOO Test Control-TOO
Period (n=419)(n=83)(n=419)(n=83)Difference Va1ue PIOITI
June Usage
On-Peak 211.53 225,21.7%21.6%(13,56)(0,86)3903
Mid-Peak 175,184,18,17,(8.48)(0.65)0.5185
Off-Peak 585,633.60.60,(47,82)(1,13)2577
June Usage 973,042,100,100.(69,86)(1,03)3047
July Usage
On-Peak 288,306,20.20,(18,07)(0,87)3842
Mid-Peak 200,210,14,14,(10.66)(0,71)0.4778
Off-Peak 896,964.64.65,(67,70)(1.10)2702
July Usage 385,482,100,100,(96.43)(1.03)3038
gust Usage
On-Peak 263,267.23.22,(4,83)(0.26)7984
Mid-Peak 192,195,17,16.(3.29)(0,23)8147
Off-Peak 678,709,59,60,(30,26)(0,70)4860
August Usage 134.41 172,100,100,(38,38)(0.53)5983
Summer Usage: June - August
On-Peak 763,799.21.8%21.6%(36,46)(0,66)5091
Mid-Peak 568,590,16,16,(22.43)(0,52)6041
Off-Peak 161.70 307.61,62.4%(145,78)(0,99)3212
Summer 06 Usage 493,697,100.100,(204,67)(0,87)3852
Table 4 - T - Test Analysis Results
Table 4 presents the results of the T -test analysis and includes the T -Value and the probability of
getting a larger T-Value (i.e., PR;::.ITI). For all three months and the summer season, the null
hypothesis cannot be rejected for any period indicating that there was not a statistical change in
the usage of the Time-of-Day participants when compared to the control group. On a percentage
of use basis, the TOD customers used slightly less during the on-peak and mid-peak periods and
slightly more during the off-peak.
3.3.3 System Peak Demand Reduction
Figure 9 presents the test and control groups on the summer system peak day, Monday, July 24
2006 at hour ending 6pm. The test group displays a peak that is approximately 0.14 kW higher
than the control group. Figure 10 normalizes the data on a percent of maximum demand basis.
This figure displays very similar profiles for the two groups on the system peak day.
RLW Analytics Page 14
Residential Time-of-Day
Energy Watch Evaluations
pca System Peak Day
Monday, July 24, 2006 (Q) Hour Ending 6pm
Monday July 2006
1.5
B: Test Sample. TOO
0: Control GrouP. TOO 1.0
01:00 07:00 13:00
Local"rre
19:00
Figure 9 - System Peak Reduction
IPca System Peak Day
Monday, July 24, 2006 (Q) Hour Ending 6pm
(Percent of Maximum Demand)
MondayJuty24 2006
%01 MaxkW
100%
80% ,-
---......----
-.._uu-
90%
70%
60%
50%
-...- ---
40%
......--.-.
___m
--,_.._-
30%
--..--- .--- --.-- ..-..
01.00 07,00 13,00
local Time
19,00
B: Test Sample, TOO
0: Control Grou TOO
Figure 10 - Normalized System Peak Demand
RLW Analytics Page 15
Residential Time-of-Day
Energy Watch Evaluations
3.4 Bill Comparisons
Table 5 presents a summary of the bill3 analysis conducted for the evaluation. The table presents
the standard residential bill versus the Time-of-Day bill for the Time-of-Day control group and
the test group. The table presents the analysis results monthly and in aggregate for the summer
2006 period June through August. The table presents the mean bill along with select statistics
associated with the distribution of bills, e.g., the 10th percentile, the 1st quartile, the median, the 3rd
quartile, and the 90th percentile. In addition, the average difference and the distribution statistics
of the difference are presented. For the Time-of-Day control group customers the mean summer
season bill was $206.08 under the standard rate. If these customers would have been billed
under the Time-of-Day rate their bill would have decreased $11.45 to $194.63. At most points
along the distribution the Time-of-Day bill was slightly lower than the standard bill. This
indicates that there would be some free riders associated with the current Time-of-Day offering.
TOD Control Group Sample n=4l9 Customers
June July August June Through August
TOD Standard TOD Standard TOD Standard TOD Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates TOD-Std
Mean $55.20 $57,$75,$81.51 $64,$67,$194.$206,($11.45)
10th Percentile $24,$24,$31.07 $33.$29,$30,$90,$91.07 ($0,10)
1st Quartile $34.$35,$49,$51.18 $40.$41.88 $127.42 $132,($3.48)
Median $49.45 $51.22 $68,$72.83 $56,$59,$175,$183,($9.41)
3rd Quartile $70.45 $74,$94.$102,$77.97 $83.$240,$254,($16,98)
90th Percentile $94,$101.80 $133,$148,$110,$114.42 $344,$367.39 ($26,45)
Test Group Sample n=83 Customers
June July August June Through August
TOD Standard TOD Standard TOD Standard TOD Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates TOD-Std
Mean $58,$61.79 $80,$87,$65,$69,$204,$217,($12,80)
10th Percentile $33.20 $33,$43,$46,$38,$38,$113,$118.($0.40)
1st Quartile $38,$41.40 $55,$57,$44,$46,$139,$144,($4,86)
Median $48,$51.64 $70,$74,$57.$60.46 $172.74 $183,($10,63)
3rd Quartile $71.10 $76,$94,$103,$77.49 $83,$242,$264.40 ($17.80)
90th Percentile $94.$100.$128.$139,$99,$103,$312,$342.54 ($29,81)
Control Group Sample n=4l9 Customers and Test Group n=83 Customers
June July August June Through August
Test Control Test Control Test Control Test Control Difference
Statistic TOD Rate Std Rate TOD Rate Std Rate TOD Rate Std Rate TOD Rate Std Rate TOD-Std
Mean $58.$57,$80.51 $81.51 $65,$67,$204,$206.08 ($1.57)
Table 5 - Time-of-Day Bill Comparisons
Examining the test group sample of customers, the average Time-of-Day bill was $204.51. If
these customers would have been billed under the standard rate then the average summer seasonal
bill would have been $217.31 or $12.80 more than the Time-of-Day bill. The last portion of the
table contrasts the control group customer s average bill under the standard rate versus the test
group customer s average bill under the Time-of-Day rate. Under this scenario, the Time-of-Day
customer saves approximately $1.57 (or less than 1 %) for the entire summer season.
3 The customer bills were calculated based on the service charge, the energy charge and the power cost
adjustment. A summary table of the rates is provided as a technical appendix to this report.
RLW Analytics Page 16
Residential Time-of-Day
Energy Watch Evaluations
ENERGY WATCH PILOT (EW) EVALUATION
In this section we examine the impact evaluation of the Energy Watch Pilot program. Energy
Watch is a critical peak pricing pilot program where the participants receive notification the day
before a critical peak event is called. A total of ten Energy Watch days, or critical peak events, per
year can be called between the dates of June 15th and August 15th. The critical peak events have the
following characteristics:
Critical peak price (CPP) hours are from 5pm to 9pm
All customers subject to CPP hours are provided day ahead notification
CPP energy price is $0.20 per kWh
. Non-CPP energy price is $0.054251 per kWh
The Energy Watch impact evaluation uses hourly interval load data in a test-control experimental
design. The test group is comprised of 66 Emmett area customers in the Energy Watch pilot
program as of August 2006. The control group was developed by statistically selecting customers
that were similar to the pilot participants based on their summer 2004 hourly load.
Critical Peak Pricing Events
During 2006, a total of ten events were called. Table 6 presents the dates, the beginning and
ending of the CPP period and selected temperature statistics for the day. The summer system
peak day of Monday, July 24, 2006 was not an event day. The maximum temperature on the
system peak day was 1O1"F and occurred at hour ending 6pm.
CPP Period Temperatures "F
Event Day Begin End Minimum Maximum Average Time of Max
Thursday, June 29, 2006 5pm 9pm 2pm
Tuesday, July 11,2006 5pm 9pm 100 5pm
Friday, July 14 2006 5pm 9pm 4pm
Tuesday, July 18 2006 5pm 9pm 4pm
Wednesday, July 19,2006 5pm 9pm 4pm
Tuesday, July 25, 2006 5pm 9pm 5pm
Thursday, July 27, 2006 5pm 9pm 104 5pm
Thursday, August 03, 2006 5pm 9pm 5pm
Wednesday, August 09 2006 5pm 9pm 6pm
Tuesday, August 15, 2006 5pm 9pm 4pm
Table 6 - Critical Peak Pricing Event Days
Energy Watch Pilot Program Participants
Complete data for 66 of the 68 pilot program participants were available and used in the Energy
Watch Pilot Evaluation. A simple average was constructed for the pilot program participants and
is displayed in Figure 11. The figure displays the summer 2006 period from June 1, 2006 through
August 31 , 2006. The average demand ranged from a low of 0.63 kW to a high of 3.20 kW. The
residential Energy Watch summer peak demand occurred on Monday, July 10, 2006 at hour
ending 8pm.
RLW Analytics Page 17
Residential Time-of-Day
Energy Watch Evaluations
Residential Energy Watch
June 1 ! 2006 - August 31! 2006
Average Load
.nm. .
TlSt Slffip!t
EW?m 3.~W "0 e 12 18
:E
30 _u-
Jco13 Jco 27 Jol11 Jo125 A0908 A0922
Loc.T'm'
Figure 11- Energy Watch Pilot Participants
Figure 12 presents a composite graph of each event day along with the maximum temperature for
the day. The figure shows a substantial reduction in load during the critical peak pricing period
on each event day. The challenge is selecting an appropriate customer baseline for use in the
comparison. For the Energy Watch Pilot evaluation, a control group was developed similar to the
one created for the Time-of-Day Pilot evaluation. Here again, the interval load data available for
the 6,000 Emmett area residences were used to match approximately five customers to each
individual Energy Watch Pilot participant based on the correlation of summer 2004 load. The
control group for the 2006 evaluation was the same as the control group used in the 2005
evaluation.
Event Days
85OF lOOOF 98OF 94OF 98OF 99OF lO4O 92OF 85OF 92OF
uu--
....--
1----
+-------.-------.-.-----
ill
--.
1---n__.I-u-
-,----,--------
1--1--
._,~-
n,_,- '-~
6 'u
.-.
--m
...,...~ -'--
V.--e--
----.....~~ -
._n...,_,_,
---~'-..--.-
'L-0 ---_u_-,
--...,.----
2.4
June 29 July 11 July 14 July 18 July 19 July 25 July 27 August 3 August 9 August 15
Figure 12 - CPP Event Days
RLW Analytics Page 18
Residential Time-of-Day
Energy Watch Evaluations
EW Control Group Participants
To analyze the impacts of the Energy Watch pilot, a control group was selected from the general
population pool of Emmett customers. The control group was determined by examining the
correlation between the pilot program participants and customers in the control group pool during
the summer or 2004. The 2006 control group consisted of approximately 355 customers. Figure
13 presents the average load developed for the EW control group for the summer 2006 period,
i.e., June 1, 2006 through August 31 , 2006. The maximum demand for the control group was
30 kW and occurred on the summer system peak day of Monday, July 24, 2006 at hour ending
7pm.
Residential Energy Watch Control Group
June 1 ! 2006 - August 31 ! 2006
Average Load
June, Sepr...,-
C""t'Ol G..o,"p
E\'V?
IreO
EW?
0.677 ::S7
"'"
10; ::4
JunOI JulOI AilgOI
LocaJ T;rre
Sop 01
Figure 13 - EW Control Group
More discussion on the appropriateness of the control group can be found in the 2005 final
report
4.4 2006 Energy Watch Pilot Results
The following sections examine the impacts associated with the Energy Watch Pilot program.
We begin by presenting summary information for all events followed by an examination of each
individual event day.
4.4.2006 Energy Watch Pilot Summary
Table 7 presents a summary of the ten Energy Watch days. Substantial load is reduced by the
Energy Watch participants during the critical peak pricing events. The maximum hourly load
reduction per participant was 1.70 kW which occurred on July 27, 2006 at hour ending 8pm.
The average hourly demand reduction was fairly consistent ranging from a low of 0.64 kW on
June 29, 2006 to a high of 1.70 kW on July 27, 2006. The average load reduction for the ten
events was 1.26 kW. The average savings in the four hour event was approximately 5.03 kWh.
4 Residential Time-of-Day and Energy Watch Pilot Program Analysis Final Reporl January 2006,
RLW Analytics Page 19
Residential Time-of-Day
Energy Watch Evaluations
Hour Hour Event Day Reductions (kW)
Beginning Ending 29-Jun ll-Jul 14-Jul 18-Jul 19-Jul 25-Jul 27-Jul Aug Aug 15-Aug Average
5pm 6pm 1.31 1.09 1.39 1.20 1.33 1.58 1.14 1.02 1.17
6pm 7pm 1.50 1.17 1.43 1.32 1.45 1.62 1.27 1.14 1.15 1.29
7pm 8pm 1.58 1.16 1.57 1.41 1.55 1.70 1.24 1.02 1.33
8pm 9pm 1.48 1.11 1.47 1.27 1.40 1.60 1.13 1.25
Four-Hour Total
Average Hourly 1.47 1.13 1.46 1.30 1.43 1.62 1.19 1.01 1.26
Minimum Temp
Maximum Temp 100 104
Average Temp
Table 7 - Energy Watch Pilot Summary
4.4.Event Day: Thursday, June 29,2006
The fIrst event was called on Thursday, June 29, 2006. The maximum outdoor temperature
during that day was 85"F. Figure 14 presents the average hourly load for the test and control
groups for the week of the event.
Event Day: June 29~ 2006
June 2006
1.5
Sm 25 Moo 26 Tue 27 Wed 28 Thu 29 Fri 30 Sal01 Sun 02
Local TIme
A: Test Group, EW
C: Control Group, EW
Figure 14 - Energy Watch Pilot: Week of June 25, 2006
Figure 15 presents the event day analysis. During the event a substantial amount of load is
reduced from the critical peak pricing period. There is some indication that the test group shifted
load to the early morning period prior to the critical peak pricing event. The average hourly load
reduction ranged from a low of 0.64 kW to a high of 0.80 kW. The average reduction across the
four hour period was 0.72 kW.
RLW Analytics Page 20
Residential Time-of-Day
Energy Watch Evaluations
Event Day: June 29, 2006
T est versus Control"
1.8 -----,
1.7
1.6 ----,--Baseline
Actualc:::::::J Energy Sa~ngs
---.-.------- ----
1.1
Control
Period
1.0
06,00 12,00 1B,OO 00,00
11usday, J"", 29, 20065,00,00 PM to 9,00,00 PM
Figure 15 - Event Day Impacts: Thursday, June 29, 2006
4.4.3 Event Days: Tuesday, July 11 2006 and Friday, July 14 2006
The second and third events were called the week of July 9, 2006. The maximum outdoor
temperature on two event days called that week was 1O0"F on Tuesday, July 11 , 2006 and 98O
on Friday, July 14, 2006. Figure 16 presents the average hourly load for the test and control
groups for the week of July 9,2006.
Event Day: July 11 and July 14! 2006
July 2000
0 --.-
-,_._,-,--- --,..,-,_..-
__..___nmm'0 ..
...,m..
1.0
SLI109 Mon 10 Tuo 11 Wed 12 ThJ 13 Fri 14 Sat15 SLI116
Local1ime
A: Test Group, EW
C: Control Group, EW
Figure 16 - Energy Watch Pilot: Week of July 9, 2006
RLW Analytics Page 21
Residential Time-of-Day
Energy Watch Evaluations
Event Day: July 11,2006
Test versus Controll!
8 -~
-""~-----
Baseline
Actualr:::::::::J Energy Sa~ngs
4 -----
06:00 12:00 18:00 00:00
Tuesday, J~y ", 20065:00:00 PM to 9:00:00
Figure 17 - Event Day Impacts: Tuesday, July 11 2006
Figure 17 and Figure 18 present the event day analyses for July 11, 2006 and July 14, 2006.
During both events a substantial amount of load is reduced from the critical peak pricing period.
For Tuesday, July 11 2006 the load reduction ranged from a low of 1.31 kW to a high of 1.58 kW.
The average reduction across the four hour period was 1.47 kW. For Friday, July 14, 2006 the
average hourly load reduction ranged from a low of 1.09 kW to a high of 1.17 kW. The average
load reduction for the four hour period was 1.13 kW.
Event Day: July 14, 2006
Test versus Control!!
(Trued-Up to 5pm)
1.4
Baseline
Actual
c:=::::J Energy Savings
2 -
0 -
.._
8 -
6 _
06:00 12:00 18:00
Fnday, July 14. 2006 5:00:00 PM to 9:00:00 PM
00:00
Figure 18 - Event Day Impacts: Friday, July 14 2006
RLW Analytics Page 22
Residential Time-of-Day
Energy Watch Evaluations
4.4.4 Event Days: Tuesday, July 18, 2006 and Wednesday, July 19,2006
The fourth and fifth events of the season were called the week of July 16, 2006. The maximum
outdoor temperature on the Tuesday, July 18, 2006 event day was 94"F and 98"F on Wednesday,
July 19,2006. Figure 19 presents the average hourly load for the test and control groups for the
week of July 16, 2006.
Event Day: July 18 and July 19~ 2006
July 2006
1.5
0 ~,
2.5
5..,,6 Mon 17 Tue 18 Wed 19 100 20 Fri21 Sat 22 S1I123
Local Time
A: Test Group, EW
C: Control Group, EW
Figure 19 - Energy Watch Pilot: Week of July 16,2006
Figure 20 presents the event day analysis for Tuesday, July 18, 2006. Once again, a substantial
amount of load is reduced during the critical peak pricing period. The average hourly load
reduction ranged from a low of 1.39 kW to a high of 1.57 kW. The average reduction across the
four hour period was 1.46 kW.
RLW Analytics Page 23
Residential Time-of- Da y
Energy Watch Evaluations
Event Day: July 18, 2006
Test versus Control"
8 _m._____..--Baseline
Actual
c::::::J Energy Savings
~~_
= 940F
2 m_..
06:00 12:00 18:00 00:00
Tuesday, July 18, 2006 5:00:00 PM to 9:00:00 PM
Figure 20 - Event Day: Tuesday, July 18,2006
Figure 21 presents the event day analysis for Wednesday, July 19,2006. The average hourly load
reduction ranged from a low of 1.20 kW to a high of 1.41 kW. The average reduction across the
four hour period was 1.30 kW.
Event Day: July 19 , 2006
Test versus Control"
8 ..'m_..____m-
rm__----..._...----...6 ..---...-
+---,
1.4 -----,1----,--
__--m_-
Max mp'= 98OF
2.4
------- --...------
Baseline
ActuaiC==:J Energy Savings
06:00 12:00 18:00
Wednesday, JIJy 19, 2006 5:00:00 PM to 9:00:00 PM
00:00
Figure 21- Event Day: Wednesday, July 19,2006
RL W Analytics Page 24
Residential Time-of-Day
Energy Watch Evaluations
4.4.Event Days: Tuesday, July 25, 2006 and Thursday, July 2006
The sixth and seventh events of the season were called the week of July 23, 2006. The maximum
outdoor temperature on the first event day of that week, Tuesday, July 25, 2006 was 99OF and
104"F on the second event day of the week, Thursday, July 27, 2006. Figure 22 presents the
average hourly load for the test and control groups for the week of July 23, 2006.
Event Day: July 25 and July 27, 2006
July 2006
ION
:: -- -.
S",23 Mon 24 Tue 25 Wed 26 Thu 27 Fri 2B Set29 S",30
Local lime
A: Test Group, EW
C: Control Group, EW
Figure 22 - Energy Watch Pilot: Week of July 23, 2006
Figure 23 presents the event day analysis for Tuesday, July 25, 2006. Once again, a substantial
amount of load is reduced during the critical peak pricing period. The load reduction during the
critical peak period ranged from a low of 1.33 kW to a high of 1.55 kW. The average reduction
across the four hour period was 1.43 kW.
RLW Analyt;cs Page 25
Residential Time-of-Day
Energy Watch Evaluations
Event Day: July 25, 2006
T est versus ControllJ
Max mp = 99OF
---
..-.---_u _u_--_._~--~
2.4 ~
2 -
1.2
1.0
06:00 12:00 18:00
Tuesday, JUj' 25, 2006 5:00:00 PM to 9:00:00 PM
Figure 23 - Event Day: Tuesday, July 25, 2006
Event Day: July 27 , 2006
Test versus ControlU
06:00 12:00 16:00
Trursday, JLJy 27 2006 5:00:00 PM to 9:00:00 PM
Baseline
Actualc::=::J Energy Savings
00:00
Baseline
Actual
c:::::::J Energy Savings
00:00
Figure 24 - Event Day: Thursday, July 27, 2006
Figure 24 presents the event day analysis for Thursday, July 27, 2006. This was the day with the
highest reduction during the critical peak pricing period. The load reduction during the critical
peak period ranged from a low of 1.58 kW to a high of 1.70 kW. The average reduction across the
four hour period was 1.62 kW.
RLW Analytics
,-~U
Page 26
Residential Time-of-Day
Energy Watch Evaluations
Event Day: August 3, 2006
Augusl2006
_umm'__u__
---,- --------
S",30 Mon31 Tue 01 Wed 02 100 03 Fri 04 Sat 05 S",06
LocaiTIme
A: Test Group, EW
C: Control Group, EW
Figure 25 - Energy Watch Pilot: Week of July 31, 2006
4.4.Event Day: Thursday, August 3, 2006
The eighth event of the season was called the week of July 31, 2006. The maximum outdoor
temperature on the event day, Thursday, August 3, 2003 was na
p'
Figure 25 presents the
average hourly load for the test and control groups for the week of July 31 , 2006.
Event Day: August 3, 2006
T est versus Controll!
1.4
Baseline
Actual
c:::::::J Energy Savings
2.4
Control
Period06:00 12:00 18:00
nursday, August 03, 20C16 5:00:00 PM 10 9:00:00
00:00
Figure 26 - Event Day: Thursday, August 3,2006
RLW Analytics Page 27
Residential Time-of-Day
Energy Watch Evaluations
Figure 26 presents the event day analysis for Thursday, August 3, 2006. Once again, a substantial
amount of load is reduced during the critical peak pricing period. The average hourly load
reduction ranged from a low of 1.13 kW to a high of 1.27 kW. The average reduction across the
four hour period was 1.19 kW.
4.4.Event Day: Wednesday, August 9 2006
The ninth event of the season was called the week of August 6, 2006. The maximum outdoor
temperature on Wednesday, August 9, 2006 was 85"F. Figure 27 presents the average hourly
load for the test and control groups for the week of August 6, 2006.
Event Day: August 9, 2006
August 2006
5 -
1.0
SLZ1 Mon 07 Tue 08 Wed 09 ThJ 10 Fr; 11 Sat 12 SLZ1
Local TIme
A: Test Group, EW
C: Control Group, EW
Figure 27 - Energy Watch Pilot: Week of August 6, 2006
Figure 28 presents the event day analyses for Wednesday, August 9, 2006. The average hourly
load reduction ranged from a low of 0.83 kW to a high of 1.14 kW. The average reduction across
the four hour period was 0.99 kW.
- -- -
AL W Ana/ytles Page 28
Residential Time-of-Day
Energy Watch Evaluations
Event Day: August 9,2006
Test versus Control"
-~-
Max I emp = 85OF
0 u_u-----
8 ~-
1.6 Baseline
Actualr:::::::J Energy Savings1.4
----,
Control ---_u
Period06:00 12:00 18:00
Wednesday, August 09, 2006 5:00:00 PM to 9:00:00 PM
00:00
Figure 28 - Event Day: Wednesday, August 9, 2006
4.4.Event Day: Tuesday, August 15,2006
The tenth and final event of the season was called the week of August 13,2006. The maximum
outdoor temperature on Tuesday, August 15, 2006 was na
p'
Figure 27 presents the average
hourly load for the test and control groups for the week of August 13, 2006.
Event Day: August 15, 2006
Augusl 20116
Jo!N
1.5
S.., 13 Mon 14 Two 15 Wed 16 Th.J 17 Fri 18 Sat 19 S..,20
Local Time
A: Test Group, EW
C: Control Group, EW
Figure 29 - Energy Watch Pilot: Week of August 13, 2006
-. -
RL W Analytics Page 29
Residential Time-of-Day
Energy Watch Evaluations
Figure 28 presents the event day analyses for Tuesday, August 15, 2006. The average hourly load
reduction ranged from a low of 0.89 kW to a high of 1.15 kW. The average reduction across the
four hour period was 1.01 kW.
Event Day: August 15, 2006
T est versus Control"
0 ~-m_
6 -
Baseline
Aclualr::::::::J Ene'!JY Savings
Max T mp = 92OF
2.4 mm_~'~'_,~
-_.- ___'___,_-
2 ,-~
1.4
---.--------- --n__._--_- Control
Period06:00 12:00 18:00
Tuesday, Augusl15, 2006 5:00:00 PM to 9:00:00 PM
00:00
Figure 30 - Event Day: Tuesday, August 15, 2006
4.4.Event Day Summary
Figure 31 summarizes the event days by presenting the test group and control group loads for
each day on a continuum. In addition to the hourly loads the maximum daily temperatures are
displayed. The peak load for the test and control groups occurred during the days of highest
temperature.
- - -
RLW Anafytics Page 30
Residential Time-of-Day
Energy Watch Evaluations
Event Days
85OF tOooF 98OF 94OF 98OF 99oF lO4OF 92OF 85OF 92OF
.__m__- -----
30' ,
8 ---.--
6 ._-,-- -
2 .
0 -
-.. " -
un_, ---
0 _.._n___--
June 29 July 11 July 14 July 18 July 19 July 25 July 27 August 3 August 9 August 15
Figure 31- Event Day Summary
Figure 32 presents the average EW reduction per participant plotted against temperature. The
plot suggests that the demand reduction does increase with temperature. A simple regression
equation was constructed using temperature as follows. The temperature variable was significant
with a T-value of 5.55 and a p-value of 0.0001.
Reduction = -1.09089+0.02611 *Temperature
EW Savings vs. Temperature
1.40
~ 1.
-; 1.
g' 0,
~ 0,
0.40
Temperature (F)
110
Figure 32 - EW Reduction versus Temperature
Figure 33 presents the average of all event days into a single graph. The maximum average load
reduction of 1.33 kW occurred at hour ending 8pm with the average load reduction across all
hours was calculated as 1.26 kW. The total average savings during the Energy Watch period is
estimated to be 5.03 kWh. The Energy Watch participants display a slightly higher early morning
load.
o.-
RLW Analytics Page 31
Residential Time-of-Day
Energy Watch Evaluations
Average of AU Event Days
Curtailment Performance Graph
A VG CPP Events, Test EWP
Baseline
Actualc:::::J Energy Savings
2.4
Control
Period
06:00 12:00 16:00 00:00
Figure 33 - Average of All Event Days
4.4.10 Energy Watch Bill Comparisons
Table 8 presents a summary of the bills analysis conducted for the evaluation. The table presents
the standard residential bill versus the Energy Watch bill for the Energy Watch control group and
the test group. The table presents the analysis results monthly and in aggregate for the summer
2006 period June through August. The table presents the mean bill along with select statistics
associated with the distribution of bills, e.g., the 10th percentile, the 1 st quartile, the median, the 3rd
quartile, and the 90th percentile. In addition, the average difference and the distribution statistics
of the difference are presented. For the Energy Watch control group customers the mean summer
season bill was $211.13 under the standard rate. If these customers would have been billed
under the Energy Watch rate, their bill would have decreased an average of $4.01 (or 1.9%) to
$207.12.
5 The customer bills were calculated based on the service charge, the energy charge and the power cost
adjustment.
RLW Analytics Page 32
Residential Time-of-Day
Energy Watch Evaluations
EWP Control Group Sample n=355 Customers
June July August June Through August
Standard Standard Standard Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates EWP-Std
Mean $55,$59,$84.49 $82,$67,$69,$207.$211.13 ($4,01)
10th Percentile $20,$20,$31.71 $30,$26,$27,$83,$83,$2.
1st Quartile $36,$37,$51.74 $50,$42_$43.44 $130,$131.92 $0,
Median $51.74 $55.11 $78.$77 ,$62.45 $64.$195,$197,($2,49)
3rd Quartile $71.04 $76,$108.64 $105,$86,$88,$260.$264,($7,24)
90th Percentile $97,$104,$150,$148,$111.89 $117,$356,$368,($13,18)
Test Group Sample n=66 Customers
June July August June Through August
Standard Standard Standard Standard Difference
Statistic Rates Rates Rates Rates Rates Rates Rates Rates EWP-Std
Mean $53.45 $57.46 $72.77 $75.43 $61.28 $64,$186,$196.44 ($10,05)
10th Percentile $18,$18,$27,$27,$23,$23,$74,$74,$0.44
1 st Quartile $31.00 $32.$44.$45,$37.46 $38,$115.$118.($1.79)
Median $50.40 $54,$64,$64,$59.$61.88 $166,$175.($7.73)
3rd Quartile $65,$70,$85,$91.55 $76,$79,$232,$249,($14,34)
90th Percentile $94,$103.$146.64 $156,$107,$114.$345.$355,($28,24)
Control Group Sample n=355 and Test Group Sample n=66 Customers
June July August June Through August
Test Control Test Control Test Control Test Control Difference
Statistic EW Rate Std Rate EW Rate Std Rate EW Rate Std Rate EW Rate Std Rate EW-Std
Mean $53.45 $59,$72.77 $82.$61.28 $69,$186,$211.13 ($24,74)
Table 8 - Energy Watch Bill Comparisons
Examining the test group sample of customers, the average Energy Watch bill was $186.39. If
these customers would have been billed under the standard rate, then the average summer
seasonal bill would have been $196.44 or $10.05 more than the Energy Watch bill. This is a
5% decrease for the Energy Watch participants. The last portion of the table contrasts the
control group customer s average bill under the standard rate versus the test group customer
average bill under the Energy Watch rate. Under this scenario, the Energy Watch customer saves
approximately $24.74 (or 11.7%) for the entire summer season.
- - ~ --
RLW Analytics Page 33
ApPENDIX A - RESIDENTIAL RATE SCHEDULES EFFECTIVE
JUNE 1, 2006
Residential Rates Effective June 1 2006
Schedule 1, Residential Service
Service Charge, per month
Power Cost Adjustment (PCA), per kWh (0.003689)
Energy Charge, per kWh (Sept. 1 - May 31)054251
Energy Charge, per kWh (June 1 - Aug. 31)
300 kWh 054251
Over 300 kWh 061060
Schedule 4, Energy Watch Pilot Program
Service Charge, per month
Power Cost Adjustment (PCA), per kWh (0.003689)
Energy Charge, per kWh (Sept. 1 - May 31)054251
Energy Charge, per kWh (June 1 - Aug. 31)
Energy Watch Event 200000
All Other Hours 054251
Schedule 5, Time-Of-Day Pilot Program
Service Charge, per month
Power Cost Adjustment (PCA), per kWh (0.003689)
Energy Charge, per kWh (Sept. 1 - May 31)054251
Energy Charge, per kWh (June 1 - Aug. 31)
On-Peak (weekday Ipm-9pm)083279
Mid-Peak (weekday 7am-lpm)061060
Off-Peak (weekday 9pm-7am plus weekends and July 4)045145
Table 9 - Summary of Residential Rates
--...... -- -.. -_._,---,~,
RLW Ana/ytics Page 34
ATTACHMENT
;- ,
IGul fF'3 23 Fe"! !;: 0\'Idaho Power
~h\
~:;~'~:)
Idaho Power
Emmett Study
Year
Final
Report
December 8 , 2006
Idaho Power
Emmett Study Year 2
Idaho Power
Final Report
Presented by:
Clearwater Research , Inc.
1845 South Federal Way
Boise , ID 83705
Contact:
Sara Gieseke
[phone] ext. 427
[phone] ext. 427
Fax: [phone]
E-mail: sgieseke~clearwater-research.com
Date:
December 8, 2006
CLEARWATERRESEARCH, /nc,
Contents
Executive Summary ......
.......... ............ ............................... ........ .......... ............. ........ ............... ........ ...........
Introd uction .....
........ ........ ................................. .................. ..... ........ .............. ........ ............. ...... ........ ...........
Methods...... .................... .......... ............ ................................. ........ ...........
............ ................. .......... .............
Survey Instrument,....,.""..""""""""""".............................""....""....................,.......,.,...."",......."........
Sample......"."..,...."......"""..,.,.,."""...................,..".".........."....."""""..................""","......""............,
Survey Promotion ..",.,...",...............,................,."."""""""".."",...."."""......................""""....""",......
Data Collection,.."....""..........."."...............,."..............,"...."....""""....""",.,.......................".,............",
Call Outcomes .............................,...........................................................................................................,
Response Rates ..."......"""................,..........""""""""""".,..""........""",........................"",................,
Data Preparation....."""..,...................,..".""".........,.,.""""".,....",.,......"".."".....,........,........"""......"",
Analysis",.........."......""...."..,.".,.....,..""",.......,....................",....,."""..........",................'"",......,"",.....
Findings and Interpretations.......
...... ..................................... ........... .............. ................... ........... .............
Respondent Characteristics...,...,."........................................",,......""""...........................,."...".........",.
Where Respondent First learned about Program..................................................................,................,
Satisfaction with Program ...............................................................,............................................,..........
Modifications to Energy Use.............,...............................................................,.....................,...............
Central Air Conditioning ,....................,.............................................................,...................................,.. 17
Features or Devices to Control Energy Usage ....,..,.........................................................................,..,..
Effect of Participation on Electricity Bill ...........................................................................,......................
Future Participation....",........"".",...."",..........""""...,....""....".,............",.,.."........,............,....,........".
Appendices
......................................... ................ .............. ... ...... ................ .............. ...... ............. ...............
A: Idaho Power Emmett Survey Year 2......................................................,.................................,....,....
B: Advance letters ,..................,.........................................................................................,..................,
C: Open End responses ....,..................................................,............................................,...................,
D: Cross tabulation tables,......................................................,...............................................................
Tables
Table 1: Sample Size and Completes for the IPESY2 survey........................,..........................,..,........,...... 3
Table 2: MPOR Dispositions and Call Outcomes for the IPESY2 survey........,.......................................... 4
Table 3: MPOR Response Rate Formula Categories .......................................................,....,.................... 5
Table 4: MPOR Response Rates............................................................................................,.........,........,
Table 5: Summary Characteristics ....................,................................,.......,........................,.........................
Table 6: First learned about program...........,................................,...............................................,...............
Table 7: Satisfaction with program..................................,...........................................................,...............
Table 8: Reasons for satisfaction with program....................................................................,....................,
Table 9: Modified energy use....................................,...............................................................,.................
Table 10: Modifications made to energy use ........................................................................................,..,..
Table 11: Home has central air conditioning.........................................................,.....................................
Table 12: Home appliances have features or devices to help control energy usage ................................,
Table 13: Types of energy control features or devices......,................................,..,.............................,....., 19
Table 14: Effect of program participation on electricity bill ..............................,..........................................
Table 15: Likelihood of future participation in energy-pricing program................,....,...............,................,
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc,
Figures
Figure 1: Where respondent first learned about program............,.................,..........................,................... 9
Figure 2: Satisfaction with program ...........................................,...................,............................................
Figure 3: Reasons for satisfaction with program ........................................................................................
Figure 4: Modified energy use .....,...........,..................,....................................................,....."..................,
Figure 5: Modifications made to energy use..............................,..............................,.................................
Figure 6: Other specified modifications made to energy use........,................................,..............,............. 16
Figure 7: Home has central air conditioning ..............................,..............,.............................,.........,.........
Figure 8: Home appliances have features or devices to help control energy usage........,.................,....... 18
Figure 9: Types of energy control features or devices,.....................................................,......................... 19
Figure 10: Effect of program participation on electricity bill........................................................................
Figure 11: Likelihood of future participation in energy-pricing program............................,......................... 21
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc.
Executive Summary
Idaho Power contracted with Clearwater Research , Inc. (Clearwater) to conduct the Idaho
Power Emmett Study Year 2 Survey (IPESY2). The IPESY2 was a full-service telephone survey
among Idaho Power residential customers in Emmett, Idaho who participated in one of two
energy-pricing programs during the summer of 2006. The overall objective of the study was to
determine customer satisfaction with the Energy Watch and Time of Day pricing programs.
The survey was completed using telephone questionnaires. All energy-pricing program
participants were selected from Idaho Power s database. A total of 102 surveys with participants
were completed. Clearwater analysts followed a comprehensive routine of data preparation
produced summary statistics and cross-tabulation tables for each survey question , and
compared the overall results among program types. Below is a summary of the findings from the
IPESY2 survey.
Participants of both programs, Energy Watch and Time of Day, continue to be satisfied
with the programs. Satisfaction for the majority of participants, in both programs, is related
to their sense that their electricity bill decreased during the period of time they participated
in the program. Other participants cited helping to conserve energy as a satisfier for them.
. Most participants in the Energy Watch and Time of Day programs indicated they changed
the way they used electricity in their home as a result of participating in the program. The
most common changes cited by participants had to do with shifting electricity usage to
other times of day or reducing energy usage all together.
. One of the more enlightening findings of this study was that less than half of all participants
in both programs and less than one third of Energy Watch participants have central air
conditioning.
. Almost half of the participants in both programs and well over half of the participants in the
Time of Day program are customers over the age of 65. Most of these same customers are
also long time Idaho Power customers having been customers for greater than 25 years.
. When asked about control features on appliances, a number of customers clearly
understood what was being asked and responded with answers related to programmable
thermostats and water-heater timers. A few customers apparently did not understand the
question and responded more in terms of purchasing Energy-Star appliances.
. The majority of participants in both programs indicated they would continue to participate if
the program was offered again.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc.
Introduction
In the fall of 2006, Idaho Power contracted with Clearwater Research , Inc. (Clearwater) to
conduct the Idaho Power Emmett Study Year 2 Survey (IPESY2). The IPESY2 was a full-
service telephone survey among Idaho Power residential customers in Emmett , Idaho who
participated in one of two energy-pricing programs during the summer of 2006. The overall
objective of the study was to determine customer satisfaction with the Energy Watch and Time
of Day pricing programs.
Clearwater s primary role for the IPESY2 was data collection , analysis and reporting. These
components included (1) collecting data from a list of contacts provided by Idaho Power, (2)
creating cross-tabulations of survey questions based on demographic information, (3)
conducting statistical testing, and (4) reporting study findings.
Clearwater worked with Idaho Power to finalize the format of the IPESY2 survey instrument.
The survey was programmed for administration with Clearwater s computer-assisted telephone
interview (CATI) system. Clearwater conducted data collection , prepared the data by editing and
verifying the survey responses , corrected data entry errors , evaluated/corrected for out-of-range
values, and conducted other logic testing.
At regular intervals throughout the study, Clearwater provided Idaho Power with a status report
tracking the number of completed interviews and the interim response and cooperation rates.
Final project deliverables include the cleaned dataset, cross-tabulation tables as well as a
methods and analytical report.
Methods
The following section outlines the methodology used during administration of the IPESY2
survey. These methods include survey instrument consultation, programming, sample
management, data collection , data preparation and analysis.
Survey Instrument
Relatively small changes were made to the format and design of the IPESY2 survey. Most
changes were related to modifying the original questionnaire for deployment using Clearwater
CA TI system.
In October 2006 , Idaho Power provided Clearwater with the 2006 version of the IPESY2 survey.
Clearwater reviewed the survey instrument and recommended minor modifications necessary to
improve question flow and reduce ambiguity for programming and deployment using the CATI
system. The final version of the survey is provided in appendix A.
The IPESY2 questionnaire included the following major sections:
Introduction
Satisfaction
Modifications to electricity use
Features or devices to control energy usage
Future participation
Demographics
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The survey was conducted in English and the average interview length was 5.79 minutes.
Sample
Idaho Power provided sample for the study. Included in the original sample file were the
contact's first and last name , phone number, and program type. All sample records were
assigned a unique identifier before being loaded into the WinCATI system. The unique identifier
provided increased respondent confidentiality and allowed for differentiation between sample
records based on criteria other than name.
A total of 153 sample records were loaded into the WinCA TI system on November 1 , 2006. All
sample fields provided by Idaho Power as well as the unique identifier were loaded into the
WinCATI system. The questionnaire CATI programming pulled the contact's name from the data
file so the interviewer could ask for the participant by name.
Survey Promotion
Several steps were taken during the IPESY2 survey to inform potential respondents about the
research project. These measures were undertaken to improve response rates by educating
sampled households and individuals about the purpose and importance of the study. The efforts
included an advance letter and an answering machine message. These information channels
supplemented and reinforced the work of Clearwater interviewers who provided scripted
information tailored to respondents' questions.
Unique advance letters were sent to all households supplied in the sample file based on their
pricing-program affiliation. Idaho Power created and distributed these letters one week prior to
study commencement. Each letter thanked respondents for their participation in the energy-
pricing program, encouraged them to participate in the follow-up survey and provided them with
directions to access their energy usage information. Text of both advance letters is provided in
appendix B.
On the first instance of reaching an answering machine at the sample contact's household
interviewers left one answering machine message. The message encouraged participation and
included contact information for respondents interested in scheduling a time to complete the
survey. Messages were not left on any subsequent encounters with answering machines.
Data Collection
Clearwater collected data using its in-house 130-station CATI system. Data were actively
collected from November 1, 2006 through November 15, 2006. In all , 102 surveys were
completed for the IPESY2 survey. The total number of completes per pricing scheme are
provided in the following table.
Table 1: Sample Size and Completes for the IPESY2 survey
Overall
Energy Watch
Time of Day
Sample
Database
153
Com letes
102
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Sample Management and Interviewing Protocols
Interviewers were thoroughly briefed prior to data collection and rehearsed the questionnaire
before conducting actual interviews. Monitoring staff listened to a sampling of interviews
throughout the fielding period to maintain data quality. Clearwater used computer-aided dialing,
but not predictive dialing. Predictive dialing has the potential to annoy respondents by
introducing a delay in connections after respondents answer the telephone. This delay leads to
higher hang-up and refusal rates and a correspondingly lower response rate for the survey.
Clearwater resolved each sample record by attempting to call it a minimum of eight times during
the calling period or until a final disposition code (such as "completed interview" or
disconnected/non-working number") was assigned. Records were attempted primarily during
weekday evening hours and on Saturdays. Only one answering machine message was left per
household or individual sample record. Similarly, one refusal , either at the household or
respondent level, was considered a final disposition of "refused interview" and the contact
number was not attempted again.
During fielding, the survey data was entered and automatically consolidated by the CATI
software as interviewers completed each questionnaire with a respondent. Throughout the data
collection field period, interviewers and supervisors used project feedback and data change
forms to document and communicate data collection errors or problems to the production
manager in the data collection department. Data changes were made by the production
manager using the CA TI data editor. If a data change affected a skip pattern later in the
questionnaire, the respondent was called back to collect the missing data.
Call Outcomes
Each call attempt was given an interim disposition depending on the outcome of the call. At the
end of the field period, each record was assigned a final disposition based on the history of
interim dispositions for that case. The disposition system codified by the American Association
for Public Opinion Research (AAPOR) was used.1 The final disposition counts and percentages
for the IPESY2 project are shown in the following table.
Table 2: AAPOR Dispositions and Call Outcomes for the IPESY2 survey
AAPOR
Disp.
1 Com lete
112 Known-res ondent refusal
310 Deceased res ondent
1 Unknown if housing unit
140 Tele hone answerin device-don t know if household
2 Fax/data line
3 Non-working/disconnect number
7 No eli ible res ondent
Total
Description
IPESY2
102 66.
7 4,
1 0.25 16.411 7,
1 0.
4 2.2 1.
153 100.
1 The American Association for Public Opinion Research, 2004, Standard Definitions: Final Disposition of
Case Codes and Outcome Rates for Surveys. 3rd edition. Lenexa , Kansas: AAPOR.
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Response Rates
For the IPESY2, the method of response rate calculation codified by MPOR was used.
Specifically, the MPOR Response Rate 3 (RR3) was used. This rate reflects the percentage of
completed interviews achieved after fully processing all attempted sample records according to
the prescribed sample management rules. To calculate RR3, the IPESY2 final dispositions are
assigned to the corresponding MPOR disposition codes and are summarized into seven
categories, based on the first two digits of the MPOR code. These categories are shown in
Table 3.
Table 3: AAPOR Response Rate Formula Categories
mbol
Code
Value Descri tion
Complete interviews
Partial interviews
Refusal or break off
Non-contact
Other
Unknown household
Unknown other
The formula for RR3 is provided below. RR3 estimates the proportion of cases of unknown
eligibility that are actually eligible (e).
RR3 = 1/((I+P)+(R+NC+O)+e(UH+UO))
Table 4 presents the category counts for each sample in the IPESY2 survey. It also shows the
RR3 value along with the value of e used for the calculation. The value e is the estimated
proportion of cases of unknown eligibility that are eligible.
Table 4: AAPOR Response Rates
Category
AAPOR RR3
Number
102
Clearwater estimated an e-value of 1.0 for the list sample provided by Idaho Power. This value
is derived from an analysis of the proportion of eligible households among all numbers for which
a definitive determination of status was obtained from the sample provided.
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Data Preparation
Processing of the IPESY2 sample was considered complete at the point that all records had
reached their maximum attempts or a final disposition had been assigned. Clearwater then
exported the data from the CATI system , cleaned the data , and compiled them into an SPSS
data file. The final data file merged all sample records and all records for which complete
interview data were collected.
Each variable was provided a unique label matching the CATI question number from the survey
instrument. Next, each raw, labeled variable was recoded into a new variable to remove non-
responsive answers (e., Don t Know, Refused). Further data cleaning included editing open-
ended responses to ensure correctness and consistency in spelling, capitalization , and
punctuation. Prior to cross-tabulation and analysis, all multiple-select variables were recoded
into binary variables and when appropriate, open-ended responses were coded into categories.
Analysis
Clearwater used SPSS and WinCross to analyze the data. The initial analyses involved
frequency tables and descriptive statistics (e., mean , standard deviation) to examine and
characterize the distribution of responses for each variable. Cross tabulation tables and
statistical testing was conducted in WinCross. In some instances WinCross identifies statistical
significance even though there is an insufficient number of cases to support analysis. Cross
tabulation tables are provided in appendix D.
The second phase of the analyses examined the patterns of similarities or differences between
programs in relation to other survey variables. In most cases, categorical breakouts resulted in
small sample sizes (no:::30) making interpretation of outcome measures impossible due to
relatively large confidence intervals.
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Findings and Interpretations
The results of analyses are presented in the following order:
Respondent Characteristics
Where respondent learned about program
Satisfaction with program
Modifications to electricity use
Home equipped with central air conditioning
Features or devices to control energy usage
Effect of participation on electricity bill
Future participation
On the following pages, charts, tables, and descriptions of survey results include the question
text for easy reference. For the full text of the questions and response categories, please refer
to appendix A.
Respondent Characteristics
The following section provides a brief descriptive overview of the 102 respondents included in
th is report.
Table 5: Summary Characteristics
Overall Energy Time of
Watch Day
Gender
Male
Female
Age
Under 25
25 to 44
44 to 64
65 or above
Education
High School or less
Some college
College degree
Household size
Single
2 to 4
4 or more
Relationship with Idaho Power
Less than 1 year
1 to 10 years
11 to 25 years
26 ears or more
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Where Respondent First Learned about Program
Question: How did you first learn about the program that Idaho Power offered
Emmett area residents?
Table 6: First learned about program
Overall Energy Time of
n = 98 Watch Day
n =45 n = 53
Participated last year 12.11,13.
Mailing from Idaho Power 54.44.4%62.
Ad in the local newspaper 15.
Idaho Power employee 2.2%
Friend or neighbor
Message on bill 14,17,11.
Other 11.
. Twelve out of ninety-eight respondents (12.2 percent) indicated they first learned about
the Energy Watch or Time of Day program because they participated in one of the
pricing programs last year.
. More than half of respondents who participated in either the Energy Watch or Time of
Day pricing-program in 2006 (54.1 percent) indicated they first learned about the
program through a "mailing from Idaho Power." Time of Day respondents were more
likely than Energy Watch respondents to indicated they first learned about their
program through a "mailing from Idaho Power" (Time of Day--62.3%; Energy Watch-
44.4%), although due to small sample sizes statistical testing could not determine
whether the differences are real or due to chance.
. Even though respondents from both pricing-programs were least likely to indicate they
first learned about their program from either an "Idaho Power employee" (1.0 percent)
or a "friend or neighbor" (2.0 percent) the differences could not be statistically tested
due to small sample sizes.
. None of the Time of Day respondents indicted they first learned about the program
from either an "ad in the local newspaper" or from an "Idaho Power employee.
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Figure 1: Where respondent first learned about program
Participated
last
year
M ailing from
Idaho Power
local paper
Idaho Power
employee
Friend
neighbor
Message
bill
Other
54.
62.
40%60%80%100%20%
iii Overall n:: 98 . Energy Watch n:: (J Tim e of Day n:: 53
Several respondents indicated they first learned about their energy-pricing program
from some other place. Several of their responses are provided below. A full list of
other" responses is available in appendix C.
Sent letter.
mailing.
Got letter.
Got flyer.
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Satisfaction with Program
Question: Overall, how satisfied are you with the energy-pricing program you
participated in? Would you say...
Table 7: Satisfaction with program
Very satisfied
Somewhat satisfied
Neither satisfied nor dissatisfied
Somewhat dissatisfied
Very dissatisfied
Overall Energy Time of
n = 100 Watch Day
1..1 = 4.
n =46 n =54
1..1= 4.1..1= 4.
60.60,59.
29.30.4%27.
Figure 2: Satisfaction with program
100%
III Overall n = 100 . Energy Watch n = DTime of Day n = 54
80%-
60.0% 60.9% 59.
60%
20%
0% 2.2% 3.0% 0.0% 0.
40%
Very satisfied Somewhat satisfied Neither satisfied nor
dissatisfied
Somewhat
dissatisfied
Very dissatisfied
. More than six out of ten respondents from both energy-pricing programs (60.0 percent)
indicated they were "very satisfied" with the program they participated in.
. None of the respondents in either program reported they were "very dissatisfied" with
their energy-pricing program although 3.0 percent did indicate they were "somewhat
dissatisfied.
. The Energy Watch program s mean satisfaction (1-1 = 4.5) was not statistically different
from either the Time of Day (1-1 = 4.4) or overall (1-1 = 4.5). Statistical testing to
determine differences between programs at the categorical level could not be
conducted due to small sample sizes.
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Question: Why are you satisfied with the energy-pricing program?
Table 8: Reasons for satisfaction with program
Overall
n = 89
Energy
Watch
n = 47
Time of
Day
n = 42
Lowered power bill 59.3% 50.0% 50,
Helped conserve energy 16.3% 17.4% 10.Easy to participate 9.3% 10.9% 5.4%
Routine change not inconvenient 8.1% 8,7% 5.4%
Convenient time schedule 2,9% 0.0% 5.4%Other 26.5% 32,6% 21.4%
Please note: Respondents could provide more than one response and therefore percentages exceed 100%-
Figure 3: Reasons for satisfaction with program
Lowered
power bill
Helped
conserve
energy
Easy
participate
Routine
change not
inconvenient
Conveninent
time
schedule
Other
59.
20%
IIOverall n = 89
80%
IJTime of Day n =42
100%40%60%
.EnergyWatch n = 47
Respondents who previously indicated they were "satisfied" with their pricing program
were asked to elaborate. More than half of all respondents from both energy-pricing
programs (Energy Watch-50.0 percent; Time of Day-50.0 percent) indicated one of
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the reasons they were satisfied with the program was because it lowered their power
bill.
. Another common reason respondents gave for being satisfied with their energy-pricing
program was that it helped them conserve energy (16.3 percent).
. A quarter of the respondents from both energy-pricing programs (26.5 percent)
provided "other" reasons for their satisfaction with the program. Several of their
comments are provided below. Full text of these comments is available in appendix C.
It worked out OK for me, I could make some adjustments to my schedule. For families who go to work
and are on schedule, it seems it would be pretty hard for them to do this, though.
Knew I could take advantage of this study, was glad to have the opportunity.
When it gets hot, our swamp cooler runs lot, and with the time of day program it seemed to help.
Just seemed to work,
Because I think it'good idea.
Question: Why are you dissatisfied with the energy-pricing program?
Respondents who previously indicated they were "dissatisfied" with their pricing
program were asked why they were dissatisfied. Their responses are provided below.
A full list of responses is also available in appendix C.
Would like to see more savings for myself and my household, There are some things that use energy that
we still have to run during that time, and we pay lot more for that usage.
am 80 years old and I need to do laundry in the morning,
It didn seem to make much difference,
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Modifications to Energy Use
Question: Did you change the way you use electricity in your home as a result
participating in this program?
Table 9: Modified energy use
Overall Energy Time of
n = 100 Watch Day
n =45 n = 55
79.84.4%74.
21,15.25,
Yes
Figure 4: Modified energy use
100%
IiIOverall n = 100
84.
80%
60%
40%
20%
Yes
. Energy Watch n = 45 CTime of Day n = 55
74.
25.
Slightly more Energy Watch respondents (84.4 percent) than Time of Day respondents
(74.5 percent) indicated they changed the way they use electricity in their home as a
result of participating in the program , although the difference is not statistically
significant.
. Overall , more than three out of four respondents (79.0 percent) reported they changed
the way they used electricity in their home as a result of participating in an energy-
pricing program.
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Question: What changes did you make in the way you use electricity as a result
participating in this program?
Table 10: Modifications made to energy use
Overall
n =
Energy
Watch
n =
Time of
Day
n =
Did laundry at night or on weekends 47,1% 31,6% 87.Washed dishes at night 29.4% 10.5% 63.4%
Adjusted household temperature/comfort 14.7% 18.4% 19.
Did cooking later in day or earlier in morning 17,7% 13.2% 22.Used microwave more 12.7% 7.9% 17.Used outdoor grill more 16,5% 15.8% 17,
Reduced showering times 13,9% 10.5% 17.
Reduced amount of water for bathing 15.2% 7.9% 22,
Turned down water heater temperature 8,9% 5.3% 12.Turned power off at breaker 1.3% 2.6% 0,
Left home during peak times 16.5% 18.4% 14.Turned lights off more 30.4% 23.7% 36.Watched less TV 17.7% 18,4% 17.
Turned computer off when not in use 16.5% 13.2% 19.Other 38.0% 57,9% 19.Turned air conditioner off/down 7.6% 7.9% 7,
Switched to energy saving light bulbs 3.8% 7.9% 0.
Reduced use of washer and/or dryer 2.5% 5.3% 0,
Showered/bathed later a night 2.5% 0.0% 4,Reduced overall power usage 10,1% 21.0% 0.
Altered cooking habits 2.5% 5.3% 0.Other 7,6% 10,5% 4.
Please note: Respondents could provide more than one response and therefore percentages exceed 100%.
Recoded category percentages may not be equivalent to "other" due to instances of "specify" non-response.
Nearly half of the respondents from both energy-pricing programs who indicated they
changed their electricity use (47.1 percent) reported they altering their laundry
schedule by doing their laundry at night or on weekends in order to reduce their
electricity consumption. This number was heavily influenced by the participants in the
Time of Day program.
. While Time of Day respondents were more likely (63.4 percent) than Energy Watch
respondents (10.5 percent) to indicate they changed their electricity use by washing
dishes at night, the difference could not be statistically tested due to relatively small
sample sizes.
Turning power off at the breaker was the least likely change enacted by respondents
from either energy-pricing program (1.3 percent).
. One third of respondents for both programs (30.4 percent) reported they modified their
electricity use by turning their lights off more.
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Figure 5: Modifications made to energy use
Did laundry
nights /
weekends
Washed
dishes
at night
Adjusted
household
temp/comfort
Did cooking
later/earlier
Used
microwave
more
Used
outdoor grill
more
Reduced
showering
times
Reduced
amt of H2O
for bathing
Turned down
H2O heater
temperature
Turned
power off
at breaker
Left home
during
peak times
Turned
lights off
more
Watched
less
Turned
computer off
when not in use
Other
29.
36.
23.
30.
20%40%
II Overall n = 79
47.
. Energy Watch n = 38
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63.
57.
60%80%
CTime of Day n = 41
87.
100%
Nearly four out of ten respondents indicated they changed their electricity use in some
other way. Several of their "other" responses could be grouped into categories. The
categories and their corresponding percentages are presented in the following table.
Figure 6: Other specified modifications made to energy use
Turned
air conditioner
offldown
Switched to
energy saving
light bulbs
Reduced
use of
washer
andlor dryer
Showered
or bathed
later at night
Reduced
overall power
usage
Altered
cooking
habits
Other
21.
20%80%100%40%60%
. Overall n = 79 OTime of Day n = 41. Energy Watch n =
. Two out of ten Energy Watch respondents (21.0 percent) indicated they reduced their
overall power usage as a result of participating in the program compared to 0.0 percent
of respondents from the Time of Day program.
. Some of the responses did not fit into any category and are provided below. Full text of
all "other" responses is located in appendix C.
Yes I put in refrigeration cooler and I put in ceiling fans,
used everything after nine clock.
Reduced power on Power Watch Night.
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Central Air Conditioning
Question: Do you have central air conditioning in your home?
Table 11: Home has central air conditioning
Yes
Overall Energy Time of
n = 102 Watch Day
n = 46 n = 56
40.28.50.
59.71,50.
Figure 7: Home has central air conditioning
100%
IIOverall n = 102 8EnergyWatch n = Crime of Day n =
80%
71.
50.50.
60%
40.
40%
20%
Yes
Less than three out of ten Energy Watch respondents (28.3 percent) reported their
home is equipped with central air conditioning. In comparison, 50.0 percent of Time of
Day respondents indicated their home has central air conditioning. While there is a
21.7 percentage point difference between the two program groups , statistical testing
could not be conducted due to small sample sizes.
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Features or Devices to Control Energy Usage
Question: Do you have features or devices on any of your home appliances that help
you control the energy usage?
Table 12: Home appliances have features or devices to help control energy usage
Overall Energy Time of
n =94 Watch Day
n =42 n = 52
Yes 25.33,19,
74.4%66.80.
Figure 8: Home appliances have features or devices to help control energy usage
100%
.Overall n = .EnergyWatch n = 42 Crime of Day n = 52
80.
20%19.
80%
60%
40%33.
Yes
Nearly three quarters of all respondents (74.4 percent) indicated they do not have
features or devices on any of their home appliances that help control energy usage.
While more Energy Watch respondents (33.3 percent) than Time of Day respondents
(19.2 percent) reported they have features or devices installed on their home
appliances to help control energy usage, the differences could not be statistically
tested due to small sample sizes.
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Question: What type of control feature or devices do you have installed in your
home?
Table 13: Types of energy control features or devices
Overall
n =24
Energy
Watch
n = 14
Time of
Day
n = 10
Set-back/programmable thermostat 29.2% 35.7% 20,Water heater timer 25,0% 28,6% 20.Dishwasher timer 12.5% 14.3% 10.Lighting timer 12.5% 14,3% 10.Energy Star appliances 16,7% 14,3% 10.Other 33.3% 28.6% 40.
Please note: Respondents could provide more than one response and therefore percentages exceed 100%.
Figure 9: Types of energy control features or devices
Other
40.
Set-back
programmable
thermostat
Water
heater
timer
Dishwasher
timer
Lighting
timer
Energy
Star
Appliances
20%40%60%80%100%
II Overall n = 24 .EnergyWatch n =14 DTime of Day n = 10
Nearly one quarter of all respondents indicated they have either a set-
back/programmable thermostat (29.2 percent) or water heater timer (25.0 percent).
. One third of respondents indicated they have some "other" feature or device installed
to control energy use. Several of their "other" features or devices are listed below.
Outside watering timer.
Propane heat has an economy button/setting.
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Effect of Participation on Electricity Bill
Question: How did your electricity bill change as a result of participating in the
program? Did it decrease stay the same, or increase?
Table 14: Effect of program participation on electricity bill
Overall Energy Time of
n = 84 Watch Day
n = 41 n = 43
Decrease 67,63.4%72.
Stay the same 26.34.18.
Increase 2.4%
Figure 10: Effect of program participation on electricity bill
100%
IIOverall n = 84 . Energy Watch n = 41 Crime of Day n =
80%
20%
72.
60%
40%34.
18.
Decrease Stay the same Increase
Slightly more Time of Day respondents (72.1 percent) compared to Energy Watch
respondents (63.4 percent) indicated their power bill "decreased" as a result of
participating in the program. While there is an 8.7 percentage point difference between
the two programs statistical testing could not be conducted to determine whether the
difference is real or due to chance.
. Very few respondents from either energy-pricing program (6.0 percent) reported their
electricity bill increased due to program participation.
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Future Participation
Question: How likely would you be to participate if the program was offered again?
Table 15: Likelihood of future participation in energy-pricing program
Overall Energy Time of
n = 102 Watch Day
JJ = 4.
n =46 n = 56
= 4.= 4.
Very likely 67.67.4%67.
Somewhat likely 21,23.19.
Neither likely nor unlikely
Somewhat unlikely 5.4%
unlikel
Figure 11: Likelihood of future participation in energy-pricing program
100%
IIOverall n = 102 .EnergyWatch n = 46 DTime of Day n = 56
80%
67.6%67.4% 67.
20%
9% 2.2% 3.01 10 9% 4.3% 3.
60%
40%
TJ
Very likely Somewhat likely Neither likely nor
unlikely
Somewhat unlikely Very unlikely
. Almost nine out of ten respondents from both energy-pricing programs (89.0 percent)
indicated they were either "very likely" or "somewhat likely" to participate if their
program was offered again.
The mean likelihood of future participation for Time of Day respondents (IJ = 4.4) is
slightly lower than both the overall mean (IJ = 4.5) and the mean for Energy Watch
respondents (IJ = 4.5), but the difference is not statistically significant.
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Appendices
A: Idaho Power Emmett Survey Year
INTRO
Hello, this is with Clearwater Research. We are an independent research firm
conducting a brief survey on behalf of Idaho Power and would like to include your opinions. The purpose
of this study is to collect customer opinions about particular programs offered by Idaho Power. This study
is being conducted for research purposes only and this call may be monitored and/or recorded for quality
purposes.
INTERVIEWER NOTE: IF HESITANT, PLEASE SAY: " Let me assure you that this is not a sales call , and
the information you provide will be kept strictly confidentiaL"
INTERVIEWER NOTE: IF NEEDED, PLEASE SAY: " The interview will take about 5 minutes of your
time.
SCR1
May I please speak with the person that is most responsible for paying the electricity bill at your home?
RESPONDENT AVAILABLE
RESPONDENT NOT AVAILABLE SET CALLBACK
, NOT INTERESTED SKIP TO THANK9
LANGUAGE BARRIER SKIP TO THANK2
DON'T KNOW / REFUSED SKIP TO THANK8
ANSMACH - IF SCR1 = 2
This message is for c::NAME OF CUSTOMER::-. I am calling on behalf of Idaho Power, Our records show
that you recently participated in c::PROGRAM::- program, We would like to ask you a few questions about
the services you received. For your convenience, you can call us at 1-800-727-5016 , extension 401 to
complete the surveyor to schedule an interview time in the future. When you call , mention the Idaho
Power survey and your identification number: xxx-xxx. Thank you very much. Goodbye.
PHONE NUMBER IS SHOWN TO MANUALLY DIAL IF MESSAGE RECORDER DOESN'T ALLOW
FULL MESSAGE.
LEFT FIRST MESSAGE
ALREADY LEFT ONE MESSAGES
MACHINE FULL / NOT WORKING
Idaho Power Emmett Study Year 2 Final Report
December 8 , 2006
Clearwater Research , Inc.
SCR2
Do you or does anyone in your household work for a public utility, utility commission , market research
firm, or the media?
YES SKIP TO THANK9
DON'T KNOW SKIP TO THANK9
REFUSED SKIP TO THANK9
GENDER
INDICATE SEX OF RESPONDENT. ASK ONLY IF NECESSARY,
MALE
FEMALE
QOOS
d like to ask you a few questions about the Idaho Power energy-pricing program that you participated in
this past summer.
How did you first learn about the c:::PROGRAM::- program that Idaho Power offered to Emmett area
residents?
DO NOT READ LIST01 PARTICIPATED LAST YEAR02 MAILING FROM IDAHO POWER03 AD IN THE LOCAL NEWSPAPER04 IDAHO POWER EMPLOYEE05 FRIEND OR NEIGHBOR06 MESSAGE ON BILL07 OTHER (SPECIFY)
DON'T KNOW/NOT SURE
REFUSED
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc.
QO10
Overall , how satisfied are you with the energy-pricing program you participated in? Would you say".
Very satisfied SKIP TO QO20
Somewhat satisfied SKIP TO QO20
Neither satisfied nor dissatisfied SKIP TO QO25
Somewhat dissatisfied SKIP TO QO15
Very dissatisfied SKIP TO QO15
DON'T KNOW/NOT SURE SKIP TO QO25
REFUSED SKIP TO QO25
QO15 - IF QO10 = 4 or 5
Why are you dissatisfied with the energy-pricing program?
QO20 - IF QO10 = 1 or 2
Why are you satisfied with the energy-pricing program?
QO25
Did you change the way you use electricity in your home as a result of participating in this program?
YES
NO SKIP TO QO35
DON'T KNOW/NOT SURE SKIP TO QO35
REFUSED SKIP TO QO35
QO30 - IF QO25 = 1
What changes did you make in the way you use electricity as a result of participating in this program?
INTERVIEWER NOTE: CHECK ALL THAT APPLY
DID LAUNDRY AT NIGHT OR ON WEEKENDS
WASHED DISHES AT NIGHT
ADJUSTED HOUSEHOLD TEMPERATURE / COMFORT
DID COOKING LATER IN DAY OR EARLIER IN MORNING
USED MICROWAVE MORE
USED OUTDOOR GRILL MORE
REDUCED SHOWERING TIMES
REDUCED AMOUNT OF WATER FOR BATHING
TURNED DOWN WATER HEATER TEMPERATURE
TURNED POWER OFF AT BREAKER
LEFT HOME DURING PEAK TIMES
TURNED LIGHTS OFF MORE
WATCHED LESS TV
TURNED OFF COMPUTER WHEN NOT IN USE
OTHER (SPECIFY)
DON'T KNOW/NOT SURE
REFUSED
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research . Inc.
QO35
Do you have central air conditioning in your home?
YES
QO40
DON'T KNOW/NOT SURE
REFUSED
Do you have features or devices on any of your home appliances that help you control the energy usage?
QO45 - IF QO40 = 1
YES
NO SKIP TO QO50
DON'T KNOW/NOT SURE SKIP TO QO50
REFUSED SKIP TO QO50
What type of control features or devices do you have installed in your home??
INTERVIEWER NOTE: CHECK ALL THAT APPLY
QO50
SET-BACK / PROGRAMMABLE THERMOSTAT
WATER HEATER TIMER
DISHWASHER TIMER
LIGHTING TIMERS
OTHER (SPECIFY)
DON'T KNOW/NOT SURE
REFUSED
How did your electricity bill change as a result of participating in the program? Did it decrease , stay the
same or increase?
DECREASE
STAY THE SAME
INCREASE
DON'T KNOW/NOT SURE
REFUSED
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc.
QO55
How likely would you be to participate if the oe::PROGRAM~ program was offered again? Would you say
you are...
QO60
Very likely
Somewhat likely
Neither likely nor unlikely
Somewhat unlikely
Very unlikely
DON'T KNOW/NOT SURE
REFUSED
The following questions are for classification purposes only. Your answers will remain strictly confidential
and will only be used to help us group your answers.
I would like to record the range in which your age falls, Which of the following groups includes your age?
QO65
Under 25
25 to 44
45 to 64, or
65 or above?
DON'T KNOW/NOT SURE
REFUSED
How long have you been an Idaho Power customer?
QO70
Less than 1 year
1 to 10 years
11 to 25 years
26 years or more
DON'T KNOW/NOT SURE
REFUSED
During your participation in the oe::Program~ program , how many people, including yourself, lived in your
household?
ENTER NUMBER OF HOUSHOLD RESIDENTS DURING PROGRAM
DON'T KNOW/NOT SURE
REFUSED
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc.
QO75
What is the highest level of education you have completed?
READ ONLY IF NECESSARY
Did not finish high school
High school graduate or GED
Some college or technical school
Associate or other degree
College degree
Some graduate school , or
Graduate degree
DON'T KNOW/NOT SURE
REFUSED
THANK1
Thank you very much for your time. Your opinions are important to us! On behalf of Clearwater Research
and Idaho Power, I'd like to thank you for participating in our survey. Have a good day / evening,
THANK2
m sorry, but we are only conducting interviews in English. Have a good day / evening,
THANKS
Those are all of the questions I have. I cannot continue without that information, Thank you for your time.
THANK9
Those are all of the questions we have, Have a good day / evening,
THANK10
When would be a better time for us to reach the member of your household who is responsible for paying
the electricity bill?
SETCALLBACK
Thank you for your time. Goodbye.
Idaho Power Emmett Study Year 2 Final Report
December 8 , 2006
Clearwater Research, Inc,
IDAHO
.:'!!
POWE R
B: Advance Letters
October 26, 2006
An IDACORP company
((Name))
((Address))
((City))
Dear Energy Watch Participant
We would like to thank you again for participating in this summer s Energy Watch pilot
program , and taking action to help reduce demand on the electrical system during peak usage
times.
As a participant in this year s program , you experienced ten Energy Watch Days
between June 15 and August 15. The hottest Energy Watch Day was on July 25 when the
temperature reached 107 degrees.
Now that this summer s program has concluded, we are asking for your help with one
last item. Clearwater Research , Inc. will be calling you in the next 10 days to ask a few general
survey questions about the Energy Watch program. Since there were a limited number of
participants in the Energy Watch program , it is very important that we receive survey responses
from as many participants as possible. Your participation in this survey will provide Idaho Power
with valuable information that we can use to evaluate our Energy Watch program. Idaho Power
and Clearwater Research will keep the individual survey responses strictly confidential.
As a customer with AMR technology, you will continue to have access to your electric
usage data by using the E-services tools at Idaho Power s Web site. To access this
information , go to E-services at www.idahopower.com and register as an Account Manager (if
you have not already done so) and you will be able to view your recent account data as well as
energy efficiency tips and tools to help you better understand your energy usage.
Sincerely,
Pete Pengilly
Program Manager
Pricing & Regulatory Services
Voice: 208-388-2281
Fax: [phone]
ppena i Ilvcw.idahopower.com
Idaho Power Emmett Study Year 2 Final Report
December 8 , 2006
Clearwater Research, Inc.
o. Box 70 (83707)
1221 W Idaho 51.
Boise, ID 83702
October 26, 2006 'il DAHO
.:'!!
POWE R
An IDACORP company
((Name))
((Address))
((City))
Dear Time of Use Participant
We would like to thank you again for participating in this summer s Time of Use pilot
program , and taking action to help reduce demand on the electrical system during peak usage
times.
Now that this summer s program has concluded, we are asking for your help with one
last item. Clearwater Research , Inc. will be calling you in the next 10 days to ask a few general
survey questions about the Time of Use program. Since there were a limited number of
participants in the Time of Use program, it is very important that we receive survey responses
from as many participants as possible. Your participation in this survey will provide Idaho Power
with valuable information that we can use to evaluate our Time of Use program. Idaho Power
and Clearwater Research will keep the individual survey responses strictly confidential.
As a customer with AMR technology, you will continue to have access to your electric
usage data by using the E-services tools at Idaho Power s Web site. To access this
information , go to E-services at www.idahopower.com and register as an Account Manager (if
you have not already done so) and you will be able to view your recent account data as well as
energy efficiency tips and tools to help you better understand your energy usage.
Sincerely,
Pete Pengilly
Program Manager
Pricing & Regulatory Services
Voice: 208-388-2281
Fax: [phone]
ppenqillv((i).idahopower.com
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc,
o, Box 70 (83707)
1221 W Idaho St.
Boise, ID 83702
C: Open End responses
QOO5: How did you first learn about the program that Idaho Power offered to Emmett
area residents?-- Other specify
Sent letter.
mailing.
Got letter,
Got a flyer.
QO15: Why are you dissatisfied with the energy-pricing program?
Would like to see more savings for myself and my household. There are some things that use energy that we
still have to run during that time, and we pay lot more for that usage.
am 80 years old and I need to do laundry in the morning.
It didn t seem to make much difference.
QO20: Why are you satisfied with the energy-pricing program?
Lowered power bill
Well it got me lower rates overall, and it wasn t that big of a sacrifice to turn off the air conditioning.
It kept my bill down to where I could basically afford it.
It cut my power bill in half.
It helped us with our bill and we are all for saving energy.
Well as far as I could tell it was less money I had to pay and it worked out.
It saved me some money.
I think it is good way to save on energy and my power bill,
My bill was little cheaper,
Time schedule (that was suggested) worked out for me, and it was good to have the lower cost during those
times. I am on fixed income.
It seemed to lower my bill.
It saves money for everyone and cutting down on energy is not hardship.
Bill was lower.
I liked the prices, it is good trade off. "
They brought the price down. It was fair for what they were asking us to do,
It reduced my energy bill.
Cut down on power bill.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc.
Bill went down.
Kept your level pay the same.
Bill doesn t increase.
Lowered your bill.
Lower bill.
Helps out on bill.
Like the price.
Because it saves me money and makes me more aware of how to save energy,
Really save me money.
Cuts down on rates.
Lowered bill by followed guidelines.
Lowered power bill and was easy to do.
Bill was less, did not put me off too much with hours you chose.
Made difference in bill,
I like the way they are doing it. I like the fact that they are trying to help us save money.
The cost was low.
It has brought my bill down quite bit and it has worked out well for me,
Cheaper, saved on electric bill, but don t know for sure.
Save money.
Saved me money if I followed the program.
In the long run it saved us money and helped Idaho power save energy,
Bill seems reasonable,
Cost went down.
My bill was not outrageous.
Lower bill.
Saved money.
1\ lot lower price on electricity, worked out just fine.
Cut down on energy bill.
Saves money.
Forced us to go out more, not an inconvenience. The phone call to alert us was very convenient, saved money
and conserved energy.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc.
Gives chance to lower bills, lower rates in the summer.
Saved money.
Program tells us when to save money.
Easy to , saved money.
Nice way to save money, but somewhat inconvenient in times set.
Helped Conserve Energy
It wasn t that hard to participate in and we saved on the energy that we used.
It helped us with our bill and we are all for saving energy.
I can t understand the charge on my bill. It does save us energy.
I think it is good way to save on energy and my power bill.
I actually think we did save energy and they did give me reminder call the day before.
It saves money for everyone and cutting down on energy is not hardship.
We just try to do our part to save energy and as long as we know ahead of time, we do everything we can
save energy.
Because it saves me money and makes me more aware of how to save energy,
Helps us to conserve.
In the long run it saved us money and helped Idaho power save energy.
I think it just makes me more aware of the energy, and when to do stuff.
It gives us the option of controlling when we use our power.
Taught me how to conserve energy,
Forced us to go out more, not an inconvenience, The phone call to alert us was very convenient, saved money
and conserved energy.
Easy to Participate
Well it got me lower rates overall, and it wasn t that big of a sacrifice to turn off the air conditioning.
It wasn t that hard to participate in and we saved on the energy that we used.
Thought it was fair and very easy request.
Worked out very well.
Lowered power bill and was easy to do.
i'i lot lower price on electricity, worked out just fine.
Although I had to do many tasks after daytime hours it really was not difficult.
Easy to , saved money.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc.
Routine Change not Inconvenient
We just try to do our part to save energy and as long as we know ahead of time we do everything we can to
save energy.
It worked out OK for me, I could make some adjustments to my schedule. For families who go to work and are
on schedule, it seems it would be pretty hard for them to do this, though.
Even though no data for comparison of savings, felt that the program and scheduling of days did not impact
my life or production schedule.
Not handicap, caused no slow down in regular routine.
Fit beautifully with what we needed, liked the flexibility of both plans offered.
Forced us to go out more, not an inconvenience. The phone call to alert us was very convenient, saved money
and conserved energy.
Although I had to do many tasks after daytime hours, it really was not difficult.
Convenient Time Schedule
Time schedule (that was suggested) worked out for me, and it was good to have the lower cost during those
times. I am on a fixed income.
Bill was less, did not put me off too much with hours you chose.
It work well for me, I like doing things in the evening.
Other
Well, it wasn very convenient and I didn t see much difference,
Well, as far as I could tell it was less money I had to pay and it worked out.
It would end up costing me more money. I'm not going to participate next year.
It didn t cost me much.
They had too many of us (assigned?)in the same time schedules.
assume that they need the power somewhere.
It lets me control how much my bill is.
I liked the prices, it is a good trade off."
They brought the price down. It was fair for what they were asking us to do.
Cheapest dime you spent.
It did not affect my bill that much,
Good way to divide,
It worked out OK for me, I could make some adjustments to my schedule. For families who go to work and are
on schedule, it seems it would be pretty hard for them to do this, though.
I thought it was fair.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research, Inc,
I like the way they are doing it. 1 like the fact that they are trying to help us save money.
It has brought my bill down quite bit and it has worked out well for me.
It does work well for us even though it may not work for others.
Seem to be satisfied.
Knew I could take advantage of this study, was glad to have the opportunity.
When it gets hot, our swamp cooler runs lot, and with the time of day program it seemed to help.
No comment.
Just seemed to work.
Because I think it's good idea.
Glad to have program offered.
Forced us to go out more, not an inconvenience, The phone call to alert us was very convenient, saved money
and conserved energy.
Seems to work,
Nice way to save money, but somewhat inconvenient in times set.
QO30: What changes did you make in the way you use electricity as a result of
participating in this program? -- Other specify
Turned air conditioner off/down
Used the air conditioner at lowest rates.
Turned down and/or significantly reduced use of air conditioning, also changed bathing times to off-peak.
Turned off air conditioner at peak hours.
Changed the way we use the air conditioning.
Turned off air conditioning.
Only used air conditioner one day.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc.
Switched to energy saving light bulbs
New energy saving bulbs, Tumed on air conditioning later in the day,
Bought light bulbs that used less power.
I got energy saving light bulbs.
Reduced use of washer and/or dryer
Did laundry less,
Hang dried clothes, There are less people living in the home now.
Showered/Bathed later at night
Took showers later at night.
Took showers after nine at night."
Reduced overall power usage
I shut every power source except for the freezer off during peak hours.
Just turned things off as much as possible and reduced usage overall.
umed everything off during peak hours.
Less energy.
Used less energy during peak hours.
Tried to do as much activity as I could to be done before noon,
Paid attention to what I did during certain hours.
Reduced overall power usage during peak times.
Altered cooking habits
Did less cooking, didn t cook large meals.
Altered cooking habits, reduced oven use.
Other
Yes I put in refrigeration cooler and I put in ceiling fans.
Turned furnace down.
I used everything after nine clock.
Follow guidelines.
Just general.
Idaho Power Emmett Study Year 2 Final Report
December 8, 2006
Clearwater Research , Inc.
Reduced power on Power Watch Night.
Q045: What type of control features or devices do you have installed in your home? -
Other specify
Energy Star Appliance
Energy saver washer and dryer.
Laundry machines with lower water use and power saving,
Updated/replaced appliances which are now more energy-efficient.
Trying to get the Energy Star appliances.
Other
Ceiling fan for heating and cooling. Our computer is set on energy saver.
Power strip, light timers.
Outside watering timer.
Heat control for pellet stove and for the furnace and air conditioning.
Propane heat has an economy button/setting.
Power bars.
I can turn down the stove, the air conditioner, the refrigerator, freezer, and washer and dryer.
Dishwasher settings.
Idaho Power Emmett Study Year 2 Final Report
December 8 , 2006
Clearwater Research, Inc.
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(F
)
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(H
)
(I
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)
(L
)
(M
)
(N
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(0
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(P
)
(Q
)
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V
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G
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Ye
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r
t
i
c
i
p
a
t
i
n
g
th
i
s
pr
o
g
r
a
m
?

A
D
J
U
S
T
E
D
H
O
U
S
E
H
O
L
D

T
E
M
P
E
R
A
T
U
R
E
/
C
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M
F
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R
T
Hi
g
h
e
s
t

l
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l
Fi
r
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t

l
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Pr
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P
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n

b
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l
l
Ty
p
e
--
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-
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-
-
-
-
-
-
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-

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n

u
-
-

-
-
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:
2
5
25
-
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4
45
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6
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65
+
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:
1
11
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5
25
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m
e
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g
r
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l
e
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m
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l
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m
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c
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m
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n
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r
g
y
To
t
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l
&.:
:
H
S
Co
l
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
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)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
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10
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%
10
0
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10
0
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10
0
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10
0
%
10
0
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10
0
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10
0
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10
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10
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10
0
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10
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10
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10
0
%
10
0
%
10
0
%
10
0
%
10
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10
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10
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10
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%
Ye
s
19
.
28
.
12
.
20
.
12
.
24
,
18
,
18
,
30
,
11
.
33
,
14
,
36
.
25
.
14
,
21
.
3
16
,
33
,
19
.
18
.
81
.
0
71
.
4
87
,
79
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87
.
76
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81
.
6
81
.
2
70
,
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,
66
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85
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63
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74
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85
,
10
0
.
10
0
,
10
0
.
10
0
.
78
.
83
,
66
,
80
.
81
.

6
NO

A
N
S
W
E
R
ST
A
N
D
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R
D

E
R
R
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Co
m
p
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s
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n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
X
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
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T
e
s
t

f
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r

P
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Up
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c
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s

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d
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t
e

s
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n
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t

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e

9
5
%

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l
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c
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s
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t
t
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s

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e

9
0
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P
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E
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r

2

F
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l

R
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De
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8
,
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Y
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2
-
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s
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t
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a
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y
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m
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e

w
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u
s
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a
s
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s
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of

p
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th
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pr
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DI
D

C
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I
N

D
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b
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:
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t
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S
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1
1
Ye
a
r
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w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
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)
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)
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)
(0
)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
TO
T
A
L
10
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T
A
L
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L
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D
10
0
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10
0
%
10
0
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10
0
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10
0
%
10
0
%
10
0
%
10
0
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10
0
%
10
0
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10
0
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10
0
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10
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10
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10
0
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10
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%
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Ye
s
17
.
14
.
19
.
17
.
18
.
23
,
15
,
20
.
18
,
11
.
19
,
27
.
20
,
14
.
50
,
11
.
25
.
22
,
13
.
82
.
85
.
80
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82
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81
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2
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,
76
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84
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80
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.

5
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,
80
.
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.
79
.
85
.
10
0
,
50
,
88
,
9
1
0
0
.
74
.
94
,
10
0
,
78
.
86
.
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
K
L
/
L
M
/
O
P
Q
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S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
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t

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Te
s
t

f
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r

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s
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p
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r

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s

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d
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e

s
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n
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f
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c
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t

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e

9
5
%

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l
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Lo
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c
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s

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E
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2

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8
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y

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r

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P
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c
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p
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m
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U
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M
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g
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d

a
b
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d
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l
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_
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_
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n
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n
-
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-
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-
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-
-
-
..:
:
2
5
25
-
4
4
45
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65
+
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:
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5
25
+
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m
e
De
g
r

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a
l
e
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m
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l
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m
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m
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n
e
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g
y
To
t
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l
&..
:
:
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S
Co
1
1
Ye
a
r
Ne
w
s
Ne
i
g
h
,
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
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10
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%
10
0
%
10
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%
10
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%
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10
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Ye
s
12
,
14
,
14
.
18
.
15
.
15
,
14
.
11
.
13
,
36
.
14
,
11
,
14
,
17
.
87
,
85
,
90
.
85
,
81
.
2
96
,
84
,
84
.
95
.
85
.
88
.
86
,
63
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92
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85
,
10
0
.
10
0
,
88
,
9
1
0
0
.
85
,
10
0
,
10
0
,
82
.
92
.
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
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g
e
s
Up
p
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r

c
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s
e

l
e
t
t
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r
s

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n
d
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c
a
t
e

s
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g
n
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f
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t

t
h
e

9
5
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s

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t

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m
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Ye
s
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l
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w
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g
h
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Da
y
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t
c
h
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)
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)
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)
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)
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)
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)
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0
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10
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10
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Ye
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1.
3
1.

6
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,
91
0
0
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10
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97
,
NO

A
N
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N
D
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E
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R
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Co
m
p
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G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
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L
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L
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W
X
/
Y
Z
In
d
e
p
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t

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t

f
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Up
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c
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s
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t

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s

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E
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n
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2
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25
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4
4
45
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+
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1
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+
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g
r

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l
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m
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t
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e
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(
H
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1
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r
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w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
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)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
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)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
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)
TO
T
A
L
10
2
TO
T
A
L
VA
L
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D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
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10
0
%
10
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10
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10
0
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10
0
%
Ye
s
16
.
35
.
16
,
12
,
20
,
15
.
25
,
18
,
16
.
16
,
18
,
17
.
28
,
10
0
.
11
.
1
19
.
16
.
14
.
18
.
OP
Q
T
83
,
64
.
83
.
91
.
2
87
,
80
.
84
.
90
.
75
.
81
.

5
83
,
83
.
81
.
8
82
,
71
.
10
0
.
88
,
10
0
,
80
,
83
.
10
0
.
85
,
81
.

6
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
0
%

l
e
v
e
l
.
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

Fin
a
l

Re
p
o
r
t
De
c
e
m
b
e
r

8
,
2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,
I
n
c
.
Ta
b
l
e

Q
0
3
0
Id
a
h
o

P
o
w
e
r
Id
a
h
o

P
o
w
e
r

E
n
u
n
e
t
t

S
t
u
d
y

Y
e
a
r

2
-
Pa
r
t
i
c
i
p
a
n
t
s
Wh
a
t
ch
a
n
g
e
s
di
d

y
o
u

m
a
k
e
in

t
h
e

w
a
y
yo
u

u
s
e
el
e
c
t
r
i
c
i
t
y
a
r
e
s
u
l
t
of

p
a
r
t
i
c
i
p
a
t
i
n
g
in

t
h
i
s
pr
o
g
r
a
m
?
TU
R
N
E
D

L
I
G
H
T
S
OF
F

M
O
R
E
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
o
u
t
Pr
o
g
r
a
m
Ag
e
Le
n
g
t
h

o
f

C
u
s
t
o
m
e
r
of

E
d
u
c
a
t
i
o
n
Ge
n
d
e
r
En
e
r
g
y

P
r
o
g
r
a
m
Ch
a
n
g
e
in

b
i
l
l
Ty
p
e
n_
_
_
_
_
n
n
n
n
_
_
_
-
--
-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-
-
-
--
_
_
_
_
_
-
-
n
u
n
n
n
n_
_
_
_
_
_
-
-
-
-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-
-

--
-
-

-
-
-
-

-
-
-
nn
_
_
n
n
_
_
_
_
-
__
n
_
n
u
n
-:
2
5
25
-
4
4
45
-
65
+
-:1
11
-
2
5
25
+
So
m
e
De
g
r

M
a
l
e
Fe
m
a
l
e
La
s
t
Ma
i
l
Em
p
Fr
n
d
Bi
l
l
Ot
h
e
r
De
c
,
Sa
m
e
In
c
.
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&-:
H
S
Co
1
1
Ye
a
r
Ne
w
s
Ne
i
g
h
,
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
30
,
50
.
25
.
26
,
12
.
36
,
34
,
25
.
30
,
37
,
16
.
34
.
45
,
35
.
28
.
22
,
40
,
11
.
36
,
23
,
69
.
50
.
74
,
73
.
87
.
64
.
65
,
75
.
70
,
63
.
83
.
65
,
54
,
64
.
71
.
10
0
.
10
0
,
77

,
10
0
.
59
,
88
.
10
0
.
63
,
76
.
OP
q
OP
q
OP
q
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
0
%

l
e
v
e
l
.
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

Fin
a
l

Re
p
o
r
t
De
c
e
m
b
e
r

8
,
2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,

I
n
c
,
Ta
b
l
e

Q
0
3
0
Id
a
h
o
Po
w
e
r
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2
-

P
a
r
t
i
c
i
p
a
n
t
s
Wh
a
t

c
h
a
n
g
e
s
di
d

y
o
u

m
a
k
e
in

t
h
e
wa
y

y
o
u

u
s
e

e
l
e
c
t
r
i
c
i
t
y

a
s
a
r
e
s
u
l
t
of

p
a
r
t
i
c
i
p
a
t
i
n
g
th
i
s
pr
o
g
r
a
m
?

W
A
T
C
H
E
D

L
E
S
S

T
V
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
o
u
t
Pr
o
g
r
a
m
Ag
e
Le
n
g
t
h

o
f

C
u
s
t
o
m
e
r
of

E
d
u
c
a
t
i
o
n
Ge
n
d
e
r
En
e
r
g
y

P
r
o
g
r
a
m
Ch
a
n
g
e

i
n

b
i
l
l
Ty
p
e
--
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-
--

_
n
_
_
_
_
_
_
-
-
-
-
-
-
-

-
-
_n
n
n
_
_
_
_
_
_
-
-
_
_
n
nn
-
-
_
_
_
-
--
-
-

-
-
-
-

--
-
-

--
-

-
-
-
-

-
-
-
-

---
-

--
-
-

-
-

-
--
_
n
_
_
_
_
_
_
-
-
-
-
_-
-
_
_
n
_
_
_
-
..:
:
2
5
25
-
45
-
65
+
..
:
:
1
11
-
25
+
So
m
e
De
g
r

M
a
l
e
Fe
m
a
l
e
La
s
t
Ma
i
l
Em
p
Fr
n
d
Bi
l
l
Ot
h
e
r
De
c
.
Sa
m
e
In
c
,
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&..
:
:
H
S
Co
I
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
17
.
35
.
12
,
14
.
18
,
24
,
13
.
18
,
20
,
14
,
16
.
18
,
18
,
25
.
14
,
50
,
17
,
22
,
33
,
17
.
18
,
82
.
64
.
87
,
85
.
81
.
2
76
,
86
.
81
.
2
80
.
85
,
83
.
82
.
81
.

8
74
,
85
.
10
0
,
50
.
10
0
.
10
0
,
83
.
77

,
66
.
82
,
81
.

6
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/

J
K
L
/
L
M
/
O
P
Q
R
S
T
U

/V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
0
%

l
e
v
e
l
,
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

Fin
a
l

Re
p
o
r
t
De
c
e
m
b
e
r

8
,
2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,
I
n
c
.
Ta
b
l
e

Q
0
3
0
Id
a
h
o
Po
w
e
r
Id
a
h
o
Po
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2
-

P
a
r
t
i
c
i
p
a
n
t
s
Wh
a
t
ch
a
n
g
e
s
di
d

y
o
u

m
a
k
e
th
e

w
a
y

y
o
u

u
s
e
el
e
c
t
r
i
c
i
t
y

a
s
re
s
u
l
t
of

p
a
r
t
i
c
i
p
a
t
i
n
g
th
i
s
pr
o
g
r
a
m
?
TU
R
N
E
D

O
F
F

C
O
M
P
U
T
E
R

W
H
E
N
NO
T
IN

U
S
E
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
o
u
t
Pr
o
g
r
a
m
Ag
e
Le
n
g
t
h

o
f

C
u
s
t
o
m
e
r
of

E
d
u
c
a

t
i
o
n
Ge
n
d
e
r
En
e
r
g
y

P
r
o
g
r
a
m
Ch
a
n
g
e
in

b
i
l
l
Ty
p
e
--
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-
--
-
-
-
_
u
u

u
n

-
_
u
_
-
--
-
-
-
_
u
_
u
_
-
-
-
-
-
-
-
--
-
-
-
-
-
_
u
- -

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

-

--

-
-
-
--
-
-
-
-
_
u
_
-
-
-
-
-
--
-
-
-
-
-
-
-
-
-
-:
2
5
25
-
45
-

6
4
65
+
-:
1
11
-
2
5
25
+
So
m
e
De
g
r
Ma
l
e
Fe
m
a
l
e
La
s
t
Ma
i
l
Er
n
p
Fr
n
d
Bi
l
l
Ot
h
e
r
De
c
,
Sa
m
e
In
c
.
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&-
:
H
S
Co
l
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L

V
A
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
16
.
28
,
16
,
11
.
12
.
20
.
15
.
18
.
20
,
11
.
1
11
.
18
,
36
,
15
,
14
,
10
0
,
23
.
19
,
13
,
OP
Q
83
.
71
,
83
.
88
,
87
,
80
.
84
,
81
.
2
80
,
88
.
88
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82
,
63
,
84
.
85
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10
0
.
10
0
,
10
0
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76
,
6
1
0
0
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10
0
.
80
.
86
,
NO

A
N
S
W
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R
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Co
m
p
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G
r
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p
s
:

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C
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p
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t

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s
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t

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h
e

9
5
%

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P
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a
r

2
-

P
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pr
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A
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n
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-
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-
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-
--
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_
_
_
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_
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n
_
-
--
-
-
-
-
-
-
-
-
-
..
:
2
5
25
-
4
4
45
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65
+
..
:
1
11
-
2
5
25
+
So
m
e
De
g
r

M
a
l
e
Fe
m
a
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d
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l
Ot
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Sa
m
e
In
c
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Ti
m
e

E
n
e
r
g
y
To
t
a
l
&..
:
H
S
Co
1
1
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
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%
10
0
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10
0
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10
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10
0
%
Ye
s
11
,
12
.
12
.
11
,
28
,
11
.
1
92
,
92
.
96
.
88
.
10
0
.
88
,
92
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87
,
95
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96
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88
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93
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90
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92
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3
1
0
0
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10
0
.
10
0
,
10
0
,
71
.
93
,
88
.
10
0
.
92
,
92
.
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
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r
i
s
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n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/

J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
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X
/
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Z
In
d
e
p
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t

Z
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T
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t

f
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P
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Up
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s
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e

9
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%

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l
.
Lo
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c
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s

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9
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P
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E
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2

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R
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8
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P
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Y
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2
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of

p
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p
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th
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s
pr
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?
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C
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T
O

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S
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T

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s
t

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o
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p
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--
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-
-
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-
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-
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-
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-
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-

-

---
-

--
-

-

-

-

-

---
-

- -

-

-

-

-

-

-

-

-

-

-

-

-

-
--
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
-
-
-0
:
:
2
5
25
-
45
-
6
4
65
+
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:
:
1
11
-
2
5
25
+
So
m
e
De
g
r
Ma
l
e
Fe
m
a
l
e
La
s
t
Ma
i
l
Em
p
Fr
n
d
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l
l
Ot
h
e
r
De
c
,
Sa
m
e
In
c
,
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&-O
:
:
H
S
Co
l
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
10
2
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
10
,
11
.
1
96
.
92
,
93
.
10
0
,
93
.
96
,
97
.
10
0
.
90
.
96
.
10
0
,
95
,
10
0
,
94
,
91
0
0
.
10
0
,
10
0
,
88
.
10
0
,
95
,
94
.
10
0
.
10
0
,
92
.
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
,
Lo
w
e
r

c
a
s
e

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e
t
t
e
r
s

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d
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c
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e

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f
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e

a
t

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h
e

9
0
%

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Id
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h
o

P
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r

E
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t

S
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Y
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2

Fi
n
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l

Re
p
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t
De
c
e
m
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8
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2
0
0
6
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e
a
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t
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r
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h
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c
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Ta
b
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e

Q
0
3
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a
h
o

P
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r
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a
h
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Po
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r

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t

S
t
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y

Y
e
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2
-
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c
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s
Wh
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ch
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d

y
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u

m
a
k
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e

w
a
y
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us
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e
c
t
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c
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y

a
s
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s
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of

p
a
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t
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c
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p
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t
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g

i
n
th
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s

p
r
o
g
r
a
m
?
RE
D
U
C
E
D

U
S
E

O
F

W
A
S
H
E
R
/
D
R
Y
E
R
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
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u
t
Pr
o
g
r
a
m
Ag
e
Le
n
g
t
h

o
f

C
u
s
t
o
m
e
r
of

E
d
u
o
a

t
i
o
n
Ge
n
d
e
r
En
e
r
g
y

P
r
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g
r
a
m
Ch
a
n
g
e

i
n

b
i
l
l
Ty
p
e
--
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-
--
-
-
-
-
-
-
-
-
-
-
-
-

-
-
-
-

-
-
--
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
--
-
-
-
-
-
-
-
-
--
-
-

-
-
-
-

-
-
-
-

-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
--
-
-
-
-
-
-
-
-
-
-
-
-
-
--
-
-
-
-
-
-
-
-
-
.0
:
:
2
5
25
-
45
-
6
4
65
+
.0
:
:
1
11
-
25
+
So
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A
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d
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14
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28
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12
.
30
,
37
.
10
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18
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25
.
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,
33
,
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.
me
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7
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.

0
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8
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57
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73
,
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7
PQ
U
PQ
U
or

m
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me
m
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u

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15
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0
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,
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,
PQ
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G
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Da
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)
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3
OP
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r

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y
To
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l
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l
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w
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h
.
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y
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t
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h
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)
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)
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)
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V
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m
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L
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A
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NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/
J
X
L
/
L
K
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
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n
c
e

a
t

t
h
e

9
0
%

l
e
v
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l
.
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

F
i
n
a
l

R
e
p
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r
t
De
c
e
m
b
e
r

8
,

2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,
I
n
c
,
14
2
Ta
b
l
e

Q
0
3
0
Id
a
h
o
Po
w
e
r
Ti
m
e

o
f

D
a
y
Id
a
h
o
Po
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2
-
Pa
r
t
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c
i
p
a
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t
s
Wh
a
t

c
h
a
n
g
e
s

d
i
d

y
o
u

m
a
k
e

i
n
th
e

w
a
y
yo
u

u
s
e

e
l
e
c
t
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c
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y

a
s

a

r
e
s
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l
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o
f

p
a
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c
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p
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i
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th
i
s

p
r
o
g
r
a
m
?

R
E
D
U
C
E
D
SH
O
W
E
R
I
N
G

T
I
M
E
S
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
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d

a
b
o
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t
Pr
o
g
r
a
m
Ag
e
Le
n
g
t
h

o
f

C
u
s
t
o
m
e
r
of

E
d
u
c
a
t
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n
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n
d
e
r
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e
r
g
y

P
r
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g
r
a
m
Ch
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n
g
e
in

b
i
l
l
Ty
p
e
--
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-

-
-
-
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--
-
-
-
-
-
-
-
-
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-
-
-
-
-
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-
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-
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-
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-
-
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u
--
-
-

-
-
-
-

-
-
-
-

-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
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-
-
-
-
-
-
-
-
-
-
-
-
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-
-
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-
-
-
-
-
-
-0
:
:
2
5
25
-
4
4
45
-
65
+
-0
:
:
1
1-
1
0
11
-
25
+
So
m
e
De
g
r

M
a
l
e
Fe
m
a
l
e
La
s
t
Ma
i
l
Em
p
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n
d
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l
l
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h
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r
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c
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m
e
In
c
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Ti
m
e

E
n
e
r
g
y
To
t
a
l
&-
O
:
:
H
S
Co
l
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
TO
T
A
L

V
A
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
17
,
14
,
21
.

7
12
.
22
.
15
,
18
,
18
,
20
.
16
,
50
.
13
,
26
,
17
,
82
,
10
0
.
85
,
78
.
87
.
90
.
77

,
84
,
81
.
8
81
.

8
80
.
83
.
50
.
87
.
10
0
,
10
0
.
10
0
.
73
.
9
1
0
0
.
10
0
,
82
.
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/

J
X
L
/
L
M
/
O
P
Q
R
S
T
U

/V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
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c
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n
c
e

a
t

t
h
e

9
0
%

l
e
v
e
l
.
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

F
i
n
a
l

R
e
p
o
r
t
De
c
e
m
b
e
r

8
,
2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,
I
n
c
.
14
3
Ta
b
l
e

Q
0
3
0
Id
a
h
o
Po
w
e
r
Ti
m
e

o
f

D
a
y
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
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y

Y
e
a
r

2
-
Pa
r
t
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c
i
p
a
n
t
s
Wh
a
t

c
h
a
n
g
e
s

d
i
d

y
o
u

m
a
k
e

i
n
th
e

w
a
y

y
o
u

u
s
e
el
e
c
t
r
i
c
i
t
y

a
s
a
r
e
s
u
l
t

o
f

p
a
r
t
i
c
i
p
a
t
i
n
g

i
n
th
i
s
pr
o
g
r
a
m
?

R
E
D
U
C
E
D

A
M
O
U
N
T

O
F

W
A
T
E
R

F
O
R

B
A
T
H
I
N
G
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
o
u
t
Pr
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g
r
a
m
Ag
e
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n
g
t
h

o
f

C
u
s
t
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m
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r
of

E
d
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c
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t
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n
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n
d
e
r
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e
r
g
y

P
r
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r
a
m
Ch
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n
g
e

i
n

b
i
l
l
Ty
p
e
--
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
-
-
-
-
-

-
-
-
-

-
-
--
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
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-
-

-
-
-
-

-
-
-
-

-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-
-
-
-

-

-

--
-
-
-
-
-
-
-
-
-
-
-
-
-
--
-
-
-
-
-
-
-
-
-
..:
2
5
25
-
4
4
45
-
65
+
..:
1
11
-
25
+
So
m
e
De
g
r
Ma
l
e
Fe
m
a
l
e
La
s
t
Ma
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l
Em
p
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n
d
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l
l
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h
e
r
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c
,
Sa
m
e
In
c
.
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&.
.
:
H
S
Co
1
1
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
TO
T
A
L
VA
L
I
D
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
10
0
%
Ye
s
22
,
25
,
14
.
26
.
25
,
18
.
22
,
15
.
27
,
27
,
30
.
19
,
33
.
26
.
26
.
16
,
22
,
78
.
75
,
85
.
73
.
75
,
81
.
8
77

,
84
.
72
,
72
,
70
.
80
,
66
,
73
,
10
0
.
10
0
,
10
0
,
73
,
83
.
10
0
.
78
,
NO

A
N
S
W
E
R
ST
A
N
D
A
R
D

E
R
R
O
R
Co
m
p
a
r
i
s
o
n

G
r
o
u
p
s
:

B
C
D
E
/
F
G
H
I
/

J
K
L
/
L
M
/
O
P
Q
R
S
T
U
/
V
W
X
/
Y
Z
In
d
e
p
e
n
d
e
n
t

Z
-
T
e
s
t

f
o
r

P
e
r
c
e
n
t
a
g
e
s
Up
p
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
5
%

l
e
v
e
l
.
Lo
w
e
r

c
a
s
e

l
e
t
t
e
r
s

i
n
d
i
c
a
t
e

s
i
g
n
i
f
i
c
a
n
c
e

a
t

t
h
e

9
0
%

l
e
v
e
l
.
Id
a
h
o

P
o
w
e
r

E
m
m
e
t
t

S
t
u
d
y

Y
e
a
r

2

Fin
a
l

Re
p
o
r
t
De
c
e
m
b
e
r

8
,
2
0
0
6
Cl
e
a
r
w
a
t
e
r

R
e
s
e
a
r
c
h
,

I
n
c
.
14
4
Ta
b
l
e

Q
0
3
0
Id
a
h
o

P
o
w
e
r
Ti
m
e

o
f

D
a
y
Id
a
h
o
Po
w
e
r

E
m
m
e
t
t

S
t
u
d
y
Ye
a
r

2
-
Pa
r
t
i
c
i
p
a
n
t
s
Wh
a
t

c
h
a
n
g
e
s

d
i
d

y
o
u

m
a
k
e
th
e

w
a
y

y
o
u

u
s
e
el
e
c
t
r
i
c
i
t
y

a
s

a

r
e
s
u
l
t

o
f
pa
r
t
i
c
i
p
a
t
i
n
g

i
n
th
i
s
pr
o
g
r
a
m
?

T
U
R
N
E
D

D
O
W
N

W
A
T
E
R

H
E
A
T
E
R

T
E
M
P
E
R
A
T
U
R
E
Hi
g
h
e
s
t

l
e
v
e
l
Fi
r
s
t

l
e
a
r
n
e
d

a
b
o
u
t
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o
g
r
a
m
Ag
e
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n
g
t
h

o
f

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u
s
t
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m
e
r
of

E
d
u
c
a
t
i
o
n
Ge
n
d
e
r
En
e
r
g
y

P
r
o
g
r
a
m
Ch
a
n
g
e
in

b
i
l
l
Ty
p
e
__
_
_
n
_
_
_
_
_
-
-
_
_
n
n
nn
_
_
_
_
-
-
-
_
_
_
_
_
-
-
n
_n
_
_
_
_
_
_
-
-
-
-
-
-
-
-
-
-
n_
_
_
-
-
_
_
-
--
-
-

-
-
-
-

-
-
-
-

-
-
-

-
-
-
-

-
-
-
-

-
-

-

-
-

-

-

-

-

-

-
--
-
-
_
_
_
_
_
_
n
_
_
-
--
-
-
-
-
-
-
-
-
-
-(
2
5
25
-
45
-
65
+
.::
1
1-
1
0
11
-
25
+
So
m
e
De
g
r
Ma
l
e
Fe
m
a
l
e
La
s
t
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l
Em
p
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n
d
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l
l
Ot
h
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r
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c
.
Sa
m
e
In
c
,
Ti
m
e

E
n
e
r
g
y
To
t
a
l
&.:
:
H
S
Co
l
l
Ye
a
r
Ne
w
s
Ne
i
g
h
.
Da
y
Wa
t
c
h
(A
)
(B
)
(C
)
(D
)
(E
)
(F
)
(G
)
(H
)
(I
)
(J
)
(K
)
(L
)
(M
)
(N
)
(0
)
(P
)
(Q
)
(R
)
(S
)
(T
)
(U
)
(V
)
(W
)
(X
)
(Y
)
(Z
)
TO
T
A
L
TO
T
A
L

V
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Ye
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h
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Da
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h
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VA
L
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U
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A
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1