C. Anna Spurlock
Cited by
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Default effects and follow-on behavior: evidence from an electricity pricing program
M Fowlie, C Wolfram, CA Spurlock, A Todd, P Baylis, P Cappers
National Bureau of Economic Research, 2017
Describing the users: Understanding adoption of and interest in shared, electrified, and automated transportation in the San Francisco Bay Area
CA Spurlock, J Sears, G Wong-Parodi, V Walker, L Jin, M Taylor, A Duvall, ...
Transportation Research Part D: Transport and Environment 71, 283-301, 2019
Appliance efficiency standards and price discrimination
CA Spurlock
Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (United …, 2013
Comparison of clustering techniques for residential energy behavior using smart meter data
L Jin, D Lee, A Sim, S Borgeson, K Wu, CA Spurlock, A Todd
AAAI Workshop-Technical Report, 260-266, 2017
Time-of-use as a default rate for residential customers: issues and insights
P Cappers, CA Spurlock, A Todd, P Baylis, M Fowlie, C Wolfram
Lawrence Berkeley National Laboratory, Berkeley, CA, 2016
Do energy efficiency standards improve quality? evidence from a revealed preference approach
S Houde, CA Spurlock
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2015
Predicting baseline for analysis of electricity pricing
T Kim, J Choi, D Lee, A Sim, CA Spurlock, A Todd, K Wu
International Journal of Big Data Intelligence 5 (1-2), 3-20, 2018
Confronting regulatory cost and quality expectations: An exploration of technical change in minimum efficiency performance standards
M Taylor, CA Spurlock, HC Yang
Are vulnerable customers any different than their peers when exposed to critical peak pricing: Evidence from the US
P Cappers, CA Spurlock, A Todd, L Jin
Energy Policy 123, 421-432, 2018
Minimum energy efficiency standards for appliances: old and new economic rationales
S Houde, CA Spurlock
Economics of Energy & Environmental Policy 5 (2), 65-84, 2016
Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization
A Lazar, L Jin, CA Spurlock, K Wu, A Sim, A Todd
Journal of Data and Information Quality (JDIQ) 11 (2), 1-22, 2019
Load shape clustering using residential smart meter data: A technical memorandum
L Jin, A Spurlock, S Borgeson, D Fredman, L Hans, S Patel, A Todd
Lawrence Berkeley National Laboratory, 2016
Spillover as a cause of bias in baseline evaluation methods for demand response programs
A Todd, P Cappers, CA Spurlock, L Jin
Applied Energy 250, 344-357, 2019
Loss Aversion and Time-Differentiated Electricity Pricing
CA Spurlock
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2015
Energy Efficiency and Minimum Standards: a Market Analysis of Recent Changes in Appliance Energy Efficiency Standards in the United States
CA Spurlock, HC Yang, L Dale
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2013
Winners are not keepers: Characterizing household engagement, gains, and energy patterns in demand response using machine learning in the United States
A Todd-Blick, CA Spurlock, L Jin, P Cappers, S Borgeson, D Fredman, ...
Energy Research & Social Science 70, 101595, 2020
Essays in Energy Economics
CA Spurlock
UC Berkeley, 2013
Children, Income, and the Impact of Home Delivery on Household Shopping Trips
CA Spurlock, A Todd-Blick, V Walker, G Wong-Parodi
Transportation Research Record, 2020
Machine learning for prediction of mid to long term habitual transportation mode use
A Lazar, A Ballow, L Jin, CA Spurlock, A Sim, K Wu
2019 IEEE International Conference on Big Data (Big Data), 4520-4524, 2019
Time Will Tell: Using Smart Meter Time Series Data to Derive Household Features and Explain Heterogeneity in Pricing Programs
S Patel, S Borgeson, R Rajagopal, CA Spurlock, A Todd
2016 ACEEE Summer Study on Energy Efficiency in Buildings, 2016
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