Behavior Analytics 2
, , , , , and . "Default Effects and Follow-On Behaviour: Evidence From an Electricity Pricing Program." The Review of Economic Studies 88.6 (2021) 2886–2934.
, , , , , , and . "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).
, , , , and . "Accelerating demand for residential solar photovoltaics: Can simple framing strategies increase consumer interest?." Global Environmental Change Volume 53.November 2018 (2018) 68–77.
, , , and . "Spillover as a cause of bias in baseline evaluation methods for demand response programs." Applied Energy 250 (2019) 344–357.
, , , , , and . "Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization." Journal of Data and Information Quality 11.2 (2019) 1–22.
, , , , , , , , and . "Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area." Transportation Research Part D: Transport and Environment 71 (2019) 283–301.
, , , , , , and . Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.
, , , , , and . "Data quality challenges with missing values and mixed types in joint sequence analysis." 2017 IEEE International Conference on Big Data (Big Data)2017 IEEE International Conference on Big Data (Big Data). Boston, MA, USA: IEEE, 2017.
, , , , , , and . "Predicting Baseline for Analysis of Electricity Pricing." International Journal of Big Data Intelligence (IJBDI) Vol. 5.No. 1/2, 2018 (2017) 3–20.
, , , , , and . "Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heter ogeneity in Pricing Programs." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016.
, , , , and . "Go for the Silver? Evidence from field studies quantifying the difference in evaluation results between “gold standard” randomized controlled trial methods versus quasi-experimental methods." 2016 ACEEE Summer Study on Energy Efficiency in Buildings 2016.
, , , and . "Evaluation of Residential Behavior-Based Programs." Energy Efficiency EM&V Webinar Series 2016.
, , , , , and . 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.
, , , , , and . "Energy Savings Lifetimes and Persistence: Practices, Issues and Data." 2015.
, , , , , and . 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.
, , , , , and . Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs. State and Local Energy Efficiency Action Network (SEE Action), 2014.