Energy & Data Behavior Analytics

Smith, Sarah Josephine, Samanvitha Murthy, Marius Stuebs, Sunhee Baik, Shreya Agarwal, Bruce Nordman, Margaret Taylor, Richard E Brown, Doug Black, and Mary Ann Piette. California Price Response Potential Study. 2026.

Smith, Sarah Josephine, Marius Stuebs, Samanvitha Murthy, Sunhee Baik, Peter Cappers, Brian F Gerke, Richard E Brown, and Mary Ann Piette. "Potential Impacts of Dynamic Electricity Pricing in California: Load Shape and Customer Bill Impacts Under Elastic Customer Response." 2025.

Jin, Ling, Joseph H Eto, Ji Yoon Lee, and Alex Hoffman. Distribution Feeder Characteristics and Their Resiliency to Natural Hazards . 2025.

Sun, Bingrong, Shivam Sharda, Venu Garikapati, Mohamed Amine Bouzaghrane, Juan Caicedo, Srinath Ravulaparthy, Isabel Viegas de Lima, Ling Jin, C Anna Spurlock, and Paul Waddell. "Demographic Microsimulator for Integrated Urban Systems: Adapting Panel Survey of Income Dynamics to Capture the Continuum of Life." Transportation Research Record (2025).

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Adlouni, Mohammed, Ling Jin, Xiaodan Xu, C Anna Spurlock, Alina Lazar, Kaveh Farokhi Sadabadi, Mahyar Amirgholy, and Mona Asudegi. "Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach." 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. 8601–8603.

Xiao, J, Konstadinos G Goulias, Srinath Ravulaparthy, Shivam Sharda, Ling Jin, and C Anna Spurlock. "Evaluating the Impacts of Autonomous Electric Vehicles Adoption on Vehicle Miles Traveled and CO2 Emissions." Energies 17.6127 (2024).

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Gerke, Brian F, Sarah Josephine Smith, Samanvitha Murthy, Sunhee Baik, Shreya Agarwal, Peter Alstone, Aditya Khandekar, Cong Zhang, Richard E Brown, Jingjing Liu, and Mary Ann Piette. The California Demand Response Potential Study, Phase 4: Report on Shed and Shift Resources Through 2050. 2024.

Jin, Ling, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C Anna Spurlock, Mahyar Amirgholy, and Mona Asudegi. "Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities." 2023 IEEE International Conference on Big Data (BigData). Sorrento, Italy: IEEE, 2023.

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).

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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). Orlando, FL, USA: IEEE, 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.

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Jin, Ling, Alina Lazar, James Sears, Annika Todd-Blick, 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.

Pre-print Article PDF

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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). Los Angeles, CA, USA: IEEE, 2019.

Sohn, Michael D, and Laurel N Dunn. "Exploratory Analysis of Energy Use Across Building Types and Geographic Regions in the United States." Frontiers in Built Environment 5 (2019).

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Todd-Blick, 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.

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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.

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Lazar, Alina, Ling Jin, C Anna Spurlock, Kesheng Wu, Alex Sim, and Annika Todd-Blick. "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.

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Jin, Ling, C Anna Spurlock, Sam Borgeson, Daniel Fredman, Liesel Hans, Siddharth Patel, and Annika Todd-Blick. Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.

Mathew, Paul A, Laurel N Dunn, Michael D Sohn, Andrea C Mercado, Claudine Custudio, and Travis Walter. "Big-data for building energy performance: Lessons from assembling a very large national database of building energy use." Applied Energy 140 (2015) 85–93.

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Lazar, Alina, Ling Jin, C Anna Spurlock, Annika Todd-Blick, 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). Boston, MA, USA: IEEE, 2017.