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

In buildings, one or a combination of systems (e.g., central HVAC system, ceiling fan, desk fan, personal heater, and foot warmer) are often responsible for providing thermal comfort to the occupants. While thermal comfort has been shown to differ from person to person and vary over time, these syst...

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Bibliographic Details
Main Authors: Ali Ghahramani, Parson Galicia, David Lehrer, Zubin Varghese, Zhe Wang, Yogesh Pandit
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Built Environment
Subjects:
machine learning
personal thermal comfort
data mining
human building interactions
buildings energy efficiency
intelligent personal comfort systems
Online Access:https://www.frontiersin.org/article/10.3389/fbuil.2020.00049/full

Internet

https://www.frontiersin.org/article/10.3389/fbuil.2020.00049/full

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