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Lifestyle Segmentation Based on Energy Consumption Data.

, , and . IEEE Trans. Smart Grid, 9 (4): 2409-2418 (2018)

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An Energy Lifestyles Program for Tweens: A Pilot Study., , , , , and . CHI Extended Abstracts, ACM, (2019)Utility customer segmentation based on smart meter data: Empirical study., , , , and . SmartGridComm, page 720-725. IEEE, (2013)Household Energy Consumption Segmentation Using Hourly Data., , and . IEEE Trans. Smart Grid, 5 (1): 420-430 (2014)Engaging the human in the design of residential energy reduction applications., , , , , , and . CTS, page 338-344. IEEE, (2012)Motivators of Energy Reduction Behavioral Intentions: Influences of Technology, Personality Characteristics, Perceptions, and Behavior Barriers., and . HCI (18), volume 9186 of Lecture Notes in Computer Science, page 436-446. Springer, (2015)Energy Graph Feedback: Attention, Cognition and Behavior Intentions., and . HCI (10), volume 8519 of Lecture Notes in Computer Science, page 520-529. Springer, (2014)Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation., , , and . CoRR, (2022)Lifestyle Segmentation Based on Energy Consumption Data., , and . IEEE Trans. Smart Grid, 9 (4): 2409-2418 (2018)Learning from Hourly Household Energy Consumption: Extracting, Visualizing and Interpreting Household Smart Meter Data., , , , and . HCI (20), volume 9188 of Lecture Notes in Computer Science, page 337-345. Springer, (2015)Power and the Pandemic: Exploring Global Changes in Electricity Demand During COVID-19., , , , , , , , and . CoRR, (2020)