Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States

Author:

Todd-Blick Annika,Spurlock C. Anna,Jin Ling,Cappers Peter,Borgeson Sam,Fredman Dan,Zuboy Jarett

Funder

Lawrence Berkeley National Laboratory

Solar Energy Technologies Office

Publisher

Elsevier BV

Subject

Social Sciences (miscellaneous),Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference47 articles.

1. Upgrading the grid: Electricity grids must cope with rising demand and complexity in a changing world. Emma Marris explores the intricacies involved in controlling the power supply;Marris;Nature,2008

2. Survey of Western US electric utility resource plans;Wilkerson;Energy Policy,2014

3. Analytical frameworks to incorporate demand response in long-term resource planning;Satchwell;Utilities Policy,2014

4. ConEd, BQDM Quarterly Expenditures & Program Report, Consolidated Edison Company of New York. Filed with the New York Department of Public Service in Case Number 14-E-0302., 2019.

5. A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response;Parrish;Energy Policy,2020

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