Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions

Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions

10.3389/fbuil.2020.00049

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Bibliographic Details
Main Authors: Ghahramani, A., Galicia, P., Lehrer, D., Varghese, Z., Wang, Z., Pandit, Y.
Other Authors: DEPT OF BUILDING
Format: Review
Published: Frontiers Media S.A. 2021
Subjects:
buildings energy efficiency
data mining
human building interactions
intelligent personal comfort systems
machine learning
personal thermal comfort
Online Access:https://scholarbank.nus.edu.sg/handle/10635/196164
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Institution: National University of Singapore
Description
Summary:10.3389/fbuil.2020.00049

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