| 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 | 154 | 2019 |
| Default effects and follow-on behaviour: Evidence from an electricity pricing program M Fowlie, C Wolfram, P Baylis, CA Spurlock, A Todd-Blick, P Cappers The Review of Economic Studies 88 (6), 2886-2934, 2021 | 144 | 2021 |
| 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 Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 60 | 2017 |
| Appliance efficiency standards and price discrimination CA Spurlock | 44 | 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 | 40 | 2020 |
| 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 | 39 | 2016 |
| Confronting regulatory cost and quality expectations: An exploration of technical change in minimum efficiency performance standards M Taylor, C Spurlock, H Yang | 35 | 2015 |
| Frontlining energy justice: Visioning principles for energy transitions from community-based organizations in the United States S Elmallah, TG Reames, CA Spurlock Energy Research & Social Science 94, 102855, 2022 | 31 | 2022 |
| 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 | 29* | 2018 |
| Do energy efficiency standards improve quality? evidence from a revealed preference approach S Houde, CA Spurlock | 24 | 2015 |
| 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 | 22 | 2020 |
| 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 | 22* | 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 | 20 | 2016 |
| Equitable deep decarbonization: A framework to facilitate energy justice-based multidisciplinary modeling CA Spurlock, S Elmallah, TG Reames Energy Research & Social Science 92, 102808, 2022 | 17 | 2022 |
| 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 | 15* | 2019 |
| 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 | 12 | 2019 |
| 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 | 10 | 2019 |
| Do energy efficiency standards improve quality S Houde, CA Spurlock Evidence from a revealed preference approach, 2015 | 8 | 2015 |
| Clustering life course to understand the heterogeneous effects of life events, gender, and generation on habitual travel modes L Jin, A Lazar, J Sears, A Todd-Blick, A Sim, K Wu, HC Yang, CA Spurlock IEEE Access 8, 190964-190980, 2020 | 7 | 2020 |
| 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 | 7 | 2016 |
Peter CappersLawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
