Customer Information and Behavior Working Group
Customer Information and Behavior Working Group Members
|Jessica Burdette (Co-Chair)||Minnesota Department of Commerce, Division of Energy Resources|
|Carrie Armel||Stanford University|
|Kira Ashby||Consortium for Energy Efficiency|
|David Brightwell||Illinois Commerce Commission|
|Adam Cooper||IEE _ Innovation, Electricity, Efficiency|
|Brian Cotterill||Vermont Department of Public Service|
|Mary Beth Deline||Illinois State University|
|Ann Dougherty||Illume Advising|
|Summer Goodwin||Bonneville Power Administration|
|Jennifer Hinman||Illinois Commerce Commission|
|Nick Lange||Vermont Energy Investment Corporation|
|Loren Lutzenhiser||Portland State University|
|Susan Mazur-Stommen||Indicia Consulting|
|Olivia Patterson||Opinion Dynamics|
|MaryAnn Ralls||National Rural Electric Cooperative Association|
|Jennifer Robinson||Electric Power Research Institute|
|Dylan Sullivan||Natural Resources Defense Council|
|Elizabeth Titus||Northeast Energy Efficiency Partnership|
|Mark Wolfe||Energy Programs Consortium|
Provides guidance on determining the efficiency potential in a utility footprint, state, or region; evaluating efficiency as a supply-side resource; and developing detailed efficiency program plans.
Provides an overview of residential customer information and behavior efficiency programs, and identifies key challenges to and solutions for increasing the penetration of these programs nationwide.
Describes the key issues, best practices, and main process steps for integrating energy efficiency into resource planning on an equal basis with other resources.
Summarizes approaches taken by states on privacy and security issues related to third-party access to customer data and provides guidance on policy options for providing access to customer data.
This publication presents examples of the value that insights from behavior analytics of these data can provide (as well as pointing out its limitations).
Insights from Smart Meters: Identifying Specific Actions, Behaviors, and Characteristics That Drive Savings in Behavior-Based Programs
The report, the second in a series of reports on smart meters, presents concrete examples of findings from behavior analytics research using data that are immediately useful and relevant, including proof-of-concept analytics techniques that can be adapted and used by others, novel discoveries that answer important policy questions, and guidelines and protocols that summarize best practices for analytics and evaluation.
Insights from Smart Meters: Ramp-Up, Dependability, and Short-Term Persistence of Savings from Home Energy Reports
This report, the third in a series of reports on smart meters, presents smart meter data to analyze the ramp-up, dependability, and short-term persistence of savings in Home Energy Reports (HERs)—one type of a behavior-based energy efficiency program.