264 citations · 1.1k across the 18 of their papers we have counts for
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cs.LG2021★ 43 cited
Using Google Trends as a proxy for occupant behavior to predict building energy consumption
Chun Fu, Clayton Miller
In recent years, the availability of larger amounts of energy data and advanced machine learning algorithms has created a surge in building energy prediction research. However, one…
cs.LG2021★ 110 cited
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
Conventional thermal preference prediction in buildings has limitations due to the difficulty in capturing all environmental and personal factors. New model features can improve th…