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• Are programs having 
intended effect?
• Are some areas or 
demographics over‐ or 
under‐served?
• Are certain customer classes 
getting as much out of 
energy efficiency fund as 
they are putting in?
• Are individual PA 
participation rates similar 
to the rest of the state 
(benchmarking)?
• Produce a unified view 
of participation, energy 
savings, and incentive 
spending for all residential 
efficiency programs 
implemented by eight
different electric and 
gas efficiency program 
administrators (PAs) in 
Massachusetts.
• Illustrate participation, 
energy savings and 
incentive spending so 
each PA can see 
results in its territory.
• Produce analysis on the 
frequency of participation in
multiple programs and 
which programs are most 
commonly first.
• Contextualize participation, 
energy savings, and incentive 
spending by census block 
to account for varying densities 
of residential accounts.
• Support additional analysis 
with unified premise‐level 
data and aggregated census 
block data.
Visualizing the Participation and Impacts 
of a Statewide Residential Portfolio
WHAT DID WE LEARN?
• Master metered 
multifamily buildings
• Upstream programs 
require modelling 
• Snapshot in time does 
not provide full story
• Data sources with different 
formatting, business rules, 
time periods, reporting 
practices
• Reconciling raw source data 
to processed and aggregated 
program filings
PUTTING RESULTS
INTO OPERATION
Marketing
Segmentation
Unified in a 
single site 
address 
through 
RCPS
Previous participation in an 
electric program with Utility A
Previous participation in a 
gas program with Utility B
Whole premise is identified 
as previous participant 
regardless of fuel type
Variables are 
entered into 
analytics 
software
Value of doing this exercise over multiple years is to inform 
implementation methods, observe effects over time.
2013 2016 (example)
We learned where incentives and savings were highest across the state.
Lead
Initiative
Frequency as Lead
Initiative
HES 42%
CoolSmart 19%
HEHE 16%
Appliances 11%
Heat Loan 9%
Other 4%
We learned how people are coming into the programs, regardless of fuel.
Home Energy Services (HES) is the direct 
install, free home audit program. Frequency 
finding validates HES program design and 
indicates it is a gateway for participation in 
other programs. 
Identifying Unique Premises 
from Service Provider Records
Michael R. Goldman, 
Eversource Energy
Leland Keller, Cadmus
Robert M. Wirtshafter, 
Wirtshafter Associates, Inc. 
CHALLENGES
Implementation
Baseline Results
Evaluation
PROJECT GOALS
Total Incentive Spending for All Programs and Sectors per Premise in 2013 Residential Gas Whole House Program Savings
Residential Electric Whole House Program Savings Upstream Lighting Initiative Savings
Michael Goldman: 
(781) 441‐8024 
michael.goldman@eversource.com
Leland Keller: 
(303) 389‐2488 
leland.keller@cadmusgroup.com
Bob Wirtshafter: 
(215) 840‐6417
wirtino@comcast.net
CONTACT US
Housing
Characteristics
Previous participation is key 
variable in segmentation and 
targeted marketing efforts
3,220
3,537
15,396
Total
2,723
2,697
2,235
984
356
1,009
3,018
Total
962
358
269 175 159
57
362
536
Total
81
36
We observed patterns of premises participating in multiple programs.
Customer
Demographics
Previous
Participation
Aggregated MA Residential Premise Table
Generate Addresses
Generate Premises
Match Premises,
Assign Providers to
Premises
Standardize Address to
USPS format:
Line1, Line2, Town,
GeoID
Latitude/Longitude
Create Electric
Address Tables
Create Gas
Address Tables
Create Premises from Unique Electric Addresses,
Assign Electric Provider to Premise
Match Gas Addresses to Electric Premises:
First: Line 1 + 2 Town
Second: Line 1 + Town
Assign Gas Provider
Gas Billing
Electric Billing
Program Tracking
Identify Gas Addresses in Towns with Municipal Electric Providers
Generate Premises with “Municipal” or “Unknown” Electric Provider
Four Initiatives
(68%) CoolSmart, HEAT Loan,
HEHE, HES
(15%) Appliances, HEAT Loan,
HEHE, HES
(7%) Appliances, CoolSmart,
HEAT Loan, HES
(11%) Other Combinations
Three Initiatives
(33%) HEAT Loan, HEHE, HES
(23%) CoolSmart, HEAT Loan, HES
(12%) CoolSmart, HEHE, HES
(9%) CoolSmart, HEAT Loan, HEHE
(6%) Appliances, HEAT Loan, HES
(5%) Appliances, HEHE, HES
(12%) Other Combinations
Two Initiatives
(23%) HEAT Loan, HES
(18%) Appliances, HES
(18%) CoolSmart, HEHE
(15%) HEHE, HES
(6%) CoolSmart, HES
(21%) Other Combinations
IEPEC Long Beach | August 2015

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Visualizing Participation and Impacts_CadmusPoster_KDv05

  • 1. www.postersession.com • Are programs having  intended effect? • Are some areas or  demographics over‐ or  under‐served? • Are certain customer classes  getting as much out of  energy efficiency fund as  they are putting in? • Are individual PA  participation rates similar  to the rest of the state  (benchmarking)? • Produce a unified view  of participation, energy  savings, and incentive  spending for all residential  efficiency programs  implemented by eight different electric and  gas efficiency program  administrators (PAs) in  Massachusetts. • Illustrate participation,  energy savings and  incentive spending so  each PA can see  results in its territory. • Produce analysis on the  frequency of participation in multiple programs and  which programs are most  commonly first. • Contextualize participation,  energy savings, and incentive  spending by census block  to account for varying densities  of residential accounts. • Support additional analysis  with unified premise‐level  data and aggregated census  block data. Visualizing the Participation and Impacts  of a Statewide Residential Portfolio WHAT DID WE LEARN? • Master metered  multifamily buildings • Upstream programs  require modelling  • Snapshot in time does  not provide full story • Data sources with different  formatting, business rules,  time periods, reporting  practices • Reconciling raw source data  to processed and aggregated  program filings PUTTING RESULTS INTO OPERATION Marketing Segmentation Unified in a  single site  address  through  RCPS Previous participation in an  electric program with Utility A Previous participation in a  gas program with Utility B Whole premise is identified  as previous participant  regardless of fuel type Variables are  entered into  analytics  software Value of doing this exercise over multiple years is to inform  implementation methods, observe effects over time. 2013 2016 (example) We learned where incentives and savings were highest across the state. Lead Initiative Frequency as Lead Initiative HES 42% CoolSmart 19% HEHE 16% Appliances 11% Heat Loan 9% Other 4% We learned how people are coming into the programs, regardless of fuel. Home Energy Services (HES) is the direct  install, free home audit program. Frequency  finding validates HES program design and  indicates it is a gateway for participation in  other programs.  Identifying Unique Premises  from Service Provider Records Michael R. Goldman,  Eversource Energy Leland Keller, Cadmus Robert M. Wirtshafter,  Wirtshafter Associates, Inc.  CHALLENGES Implementation Baseline Results Evaluation PROJECT GOALS Total Incentive Spending for All Programs and Sectors per Premise in 2013 Residential Gas Whole House Program Savings Residential Electric Whole House Program Savings Upstream Lighting Initiative Savings Michael Goldman:  (781) 441‐8024  michael.goldman@eversource.com Leland Keller:  (303) 389‐2488  leland.keller@cadmusgroup.com Bob Wirtshafter:  (215) 840‐6417 wirtino@comcast.net CONTACT US Housing Characteristics Previous participation is key  variable in segmentation and  targeted marketing efforts 3,220 3,537 15,396 Total 2,723 2,697 2,235 984 356 1,009 3,018 Total 962 358 269 175 159 57 362 536 Total 81 36 We observed patterns of premises participating in multiple programs. Customer Demographics Previous Participation Aggregated MA Residential Premise Table Generate Addresses Generate Premises Match Premises, Assign Providers to Premises Standardize Address to USPS format: Line1, Line2, Town, GeoID Latitude/Longitude Create Electric Address Tables Create Gas Address Tables Create Premises from Unique Electric Addresses, Assign Electric Provider to Premise Match Gas Addresses to Electric Premises: First: Line 1 + 2 Town Second: Line 1 + Town Assign Gas Provider Gas Billing Electric Billing Program Tracking Identify Gas Addresses in Towns with Municipal Electric Providers Generate Premises with “Municipal” or “Unknown” Electric Provider Four Initiatives (68%) CoolSmart, HEAT Loan, HEHE, HES (15%) Appliances, HEAT Loan, HEHE, HES (7%) Appliances, CoolSmart, HEAT Loan, HES (11%) Other Combinations Three Initiatives (33%) HEAT Loan, HEHE, HES (23%) CoolSmart, HEAT Loan, HES (12%) CoolSmart, HEHE, HES (9%) CoolSmart, HEAT Loan, HEHE (6%) Appliances, HEAT Loan, HES (5%) Appliances, HEHE, HES (12%) Other Combinations Two Initiatives (23%) HEAT Loan, HES (18%) Appliances, HES (18%) CoolSmart, HEHE (15%) HEHE, HES (6%) CoolSmart, HES (21%) Other Combinations IEPEC Long Beach | August 2015