Publications: Behavior Analytics
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2022
Jin, Ling, Alina Azar, Caitlin Brown, Bingrong Sun, Venu Garikapati, Srinath Ravulaparthy, Qianmiao Chen, Alex Sim, Kesheng Wu, Tin Ho, Thomas P. Wenzel, and C. Anna Spurlock."What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions."Frontiers in Future Transportation - Connected Mobility and Automation
(2022). DOI
2021
Lazar, Alina, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alex Sim, and Kesheng Wu."Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions."2021 IEEE International Conference on Big Data (Big Data)
(2021). DOI
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).
Popovich, Natalie, C. Anna Spurlock, Zachary Needell, Ling Jin, Thomas P. Wenzel, Colin Sheppard, and Mona Asudegi."A methodology to develop a geospatial transportation typology."Journal of Transport Geography
93 (2021) 103061. DOI
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
2020
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
2019
Lazar, , Alina, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alex Sim, and Kesheng Wu."Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use."2019 IEEE International Conference on Big Data (Big Data)2019 IEEE International Conference on Big Data (Big Data)
(2019). 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
Dunn, Laurel N., Michael D. Sohn, Kristina Hamachi LaCommare, and Joseph H Eto."Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability."Energy Policy
129 (2019) 206 - 214. DOI
2018
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
2017
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
Wei, Max, Sarah Josephine Smith, and Michael D. Sohn."Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US."Applied Energy
191 (2017) 346 - 357. 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).
2016
Smith, Sarah Josephine, Max Wei, and Michael D. Sohn."A retrospective analysis of compact fluorescent lamp experience curves and their correlations to deployment programs."Energy Policy
98 (2016) 505 - 512. DOI
Walter, Travis, and Michael D. Sohn."A regression-based approach to estimating retrofit savings using the Building Performance Database."Applied Energy
179 (2016) 996 - 1005. DOI
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).
Berger, Michael A., Liesel Hans, Kate Piscopo, and Michael D. Sohn."Exploring the Energy Benefits of Advanced Water Metering."
(2016).
Eto, Joseph H, Kristina Hamachi LaCommare, Michael D. Sohn, and Heidemarie C. Caswell."Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days View Document."IEEE Transactions on Power Systems
32.2 (2016). DOI