Energy & Data Behavior Analytics
, , , , , , , , , , and . The California Demand Response Potential Study, Phase 4: Report on Shed and Shift Resources Through 2050. 2024.
, , , , , , , , , and . "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.
, , , , , , , , , , , and . "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).
, , , , , and . "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.
, , , , , , and . "A methodology to develop a geospatial transportation typology." Journal of Transport Geography 93 (2021) 103061.
, , , , , , , and . "Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes." IEEE Access (2020) 1–17.
, , , , , and . "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.
, and . "Exploratory Analysis of Energy Use Across Building Types and Geographic Regions in the United States." Frontiers in Built Environment 5 (2019).
, , , and . "Spillover as a cause of bias in baseline evaluation methods for demand response programs." Applied Energy 250 (2019) 344–357.
, , , and . "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability." Energy Policy 129 (2019) 206–214.
, , , , , and . "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.
, , , , , , and . Load Shape Clustering Using Residential Smart Meter Data: a Technical Memorandum. 2016.
, , , , , and . "Big-data for building energy performance: Lessons from assembling a very large national database of building energy use." Applied Energy 140 (2015) 85–93.
, , , , , and . "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.
, , , , , and . "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.
, , , , and . "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.
, , and . "Amelioration of the cooling load based chiller sequencing control." Applied Energy 168 (2016) 204–215.
, and . "A regression-based approach to estimating retrofit savings using the Building Performance Database." Applied Energy 179 (2016) 996–1005.
, , and . "A retrospective analysis of compact fluorescent lamp experience curves and their correlations to deployment programs." Energy Policy 98 (2016) 505–512.
, , and . "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US." Applied Energy 191 (2017) 346–357.