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Understanding the Impact of Distributed Photovoltaic Adoption on Utility Revenues and Retail Electricity Tariffs in Thailand. USAID Clean Power Asia, 2017..
"Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States." Energy Research & Social Science 70 (2020)..
"Spillover as a cause of bias in baseline evaluation methods for demand response programs." Applied Energy 250 (2019) 344 - 357..
Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs. State and Local Energy Efficiency Action Network (SEE Action), 2014. LBNL-6598E..
Insights from Smart Meters: Ramp-up, dependability, and short-term persistence of savings from Home Energy Reports. State and Local Energy Efficiency Action Network (SEE Action), 2015. LBNL-182265..
Residential Customer Enrollment in Time-based Rate and Enabling Technology Programs: Smart Grid Investment Grant Consumer Behavior Study Analysis. 2013. LBNL-6247E..
Insights from Smart Meters: Identifying Specific Actions, Behaviors and Characteristics that drive savings in Behavior-Based Programs. State and Local Energy Efficiency Action Network (SEE Action), 2014. LBNL-182663..
Evaluation, Measurement, and Verification (EM&V) of Residential Behavior-Based Energy Efficiency Programs: Issues and Recommendations. 2012..
Energy Efficiency Finance Programs: Use-case Analysis to Define Data Needs and Guidelines. State & Local Energy Efficiency Action Network (SEE Action), 2014..
"Selling an Energy Efficiency Loan Portfolio in Oregon: Resale of the Craft3 loan portfolio to Self-Help Credit Union." 2014..
"Exploring the impact of increased solar deployment levels on residential electricity bills in India." Renewable Energy 120.May 2018 (2017) 512-523..