Cappers, Peter, and Annika Todd-Blick."Heterogeneity in Own-Price Residential Customer Demand Elasticities for Electricity under Time-of-Use Rates: Evidence from a Randomized-Control Trial in the United States."Utilities Policy (2021).
Fowlie, Meredith, Catherine Wolfram, Patrick Baylis, C. Anna Spurlock, Annika Todd-Blick, and Peter Cappers."Default Effects and Follow-On Behaviour: Evidence From an Electricity Pricing Program."The Review of Economic Studies 88.6 (2021) 2886–2934. DOI
Todd-Blick, Annika, C. Anna Spurlock, Ling Jin, Peter Cappers, Sam Borgeson, Daniel Fredman, and Jarett Zuboy."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). DOI
Jin, Ling, Alina Lazar, James Sears, Annika Todd, Alex Sim, Kesheng Wu, Hung-Chia Yang, and C. Anna Spurlock."Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes."IEEE Access (2020) 1-17. DOI
Spurlock, C. Anna, Annika Todd-Blick, Gabrielle Wong-Parodi, and Victor Walker."Children, Income, and the Impact of Home- Delivery on Household Shopping Trips."Transportation Research Record (2020). DOI
Todd, Annika, Peter Cappers, C. Anna Spurlock, and Ling Jin."Spillover as a cause of bias in baseline evaluation methods for demand response programs."Applied Energy 250 (2019) 344 - 357. DOI
Lazar, Alina, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd."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. DOI
Spurlock, C. Anna, James Sears, Gabrielle Wong-Parodi, Victor Walker, Ling Jin, Margaret Taylor, Andrew Duvall, Anand R. Gopal, and Annika Todd."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. DOI
Wolske, Kimberly S., Annika Todd, Michael Rossol, James McCall, and Benjamin Sigrin."Accelerating demand for residential solar photovoltaics: Can simple framing strategies increase consumer interest?."Global Environmental Change Volume 53.November 2018 (2018) 68-77. DOI
Lazar, Alina, Ling Jin, C. Anna Spurlock, Annika Todd, Kesheng Wu, and Alex Sim."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) (2017). DOI
Kim, Taehoon, Dongeun Lee, Jaesik Choi, C. Anna Spurlock, Alex Sim, Annika Todd, and Kesheng Wu."Predicting Baseline for Analysis of Electricity Pricing."International Journal of Big Data Intelligence (IJBDI) Vol. 5.No. 1/2, 2018 (2017) 3-20. DOI
Jin, Ling, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, and Annika Todd."Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data." AAAI Workshops - Artificial Intelligence for Smart Grids and Buildings, March 2017 (2017).
Schiller, Steven R., C. Anna Spurlock, Annika Todd, and Bill Saxonis."Evaluation of Residential Behavior-Based Programs."Energy Efficiency EM&V Webinar Series (2016).
Cappers, Peter, C. Anna Spurlock, Annika Todd, and Ling Jin."Experiences of Vulnerable Residential Customer Subpopulations with Critical Peak Pricing." (2016).
Jin, Ling, C. Anna Spurlock, Sam Borgeson, Daniel Fredman, Liesel Hans, Siddharth Patel, and Annika Todd."Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum." (2016).
Cappers, Peter, C. Anna Spurlock, Annika Todd, Patrick Baylis, Meredith Fowlie, and Catherine Wolfram."Time-of-Use as a Default Rate for Residential Customers: Issues and Insights." (2016).
Spurlock, C. Anna, Peter Cappers, Ling Jin, Annika Todd, and Patrick Baylis."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).
Patel, Siddharth, Sam Borgeson, Ram Rajagopal, C. Anna Spurlock, Ling Jin, and Annika Todd."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).
Todd, Annika, Michael Perry, Brian Smith, Michael J. Sullivan, Peter Cappers, and Charles A. Goldman."Insights from Smart Meters: Ramp-up, dependability, and short-term persistence of savings from Home Energy Reports." (2015).
Hoffman, Ian M., Steven R. Schiller, Annika Todd, Megan A. Billingsley, Charles A. Goldman, and Lisa C. Schwartz."Energy Savings Lifetimes and Persistence: Practices, Issues and Data." (2015).
Todd, Annika, Michael Perry, Brian Smith, Michael J. Sullivan, Peter Cappers, and Charles A. Goldman."Insights from Smart Meters: Identifying Specific Actions, Behaviors and Characteristics that drive savings in Behavior-Based Programs." (2014).
Todd, Annika, Michael Perry, Brian Smith, Michael J. Sullivan, Peter Cappers, and Charles A. Goldman."Insights from Smart Meters: The Potential for Peak-Hour Savings from Behavior-Based Programs." (2014).
Zimring, Mark, Merrian Borgeson, Annika Todd, and Charles A. Goldman."Getting the Biggest Bang for the Buck: Exploring the Rationales and Design Options for Energy Efficiency Financing Programs." (2013).