Publications

Export 10 results:
Author Title [ Type(Asc)] Year
Filters: Author is Ling Jin  [Clear All Filters]
Journal Article
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).
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.
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.
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.
Satchwell, Andrew, Corinne Scown, Sarah Josephine Smith, Jahon Amirebrahimi, Ling Jin, Thomas W Kirchstetter, Nancy J Brown, and Chelsea V Preble. "Accelerating the Deployment of Anaerobic Digestion to Meet Zero Waste Goals." Environmental Science & Technology 52.23 (2018) 13663–13669.
Conference Paper
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). Boston, MA, USA: IEEE, 2017.