110 citations · 183 across the 8 of their papers we have counts for
3 papers · 1 filter
Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
Zeynep Duygu Tekler, Yue Lei, Xilei Dai +1
Developing personalised thermal comfort models to inform occupant-centric controls (OCC) in buildings requires collecting large amounts of real-time occupant preference data. This…
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan +7
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countr…
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…