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

id	sg-nus-scholar.10635-196164
record_format	dspace
spelling	sg-nus-scholar.10635-1961642023-11-01T07:50:58Z Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions Ghahramani, A. Galicia, P. Lehrer, D. Varghese, Z. Wang, Z. Pandit, Y. DEPT OF BUILDING buildings energy efficiency data mining human building interactions intelligent personal comfort systems machine learning personal thermal comfort 10.3389/fbuil.2020.00049 Frontiers in Built Environment 6 49 2021-08-10T03:02:49Z 2021-08-10T03:02:49Z 2020 Review Ghahramani, A., Galicia, P., Lehrer, D., Varghese, Z., Wang, Z., Pandit, Y. (2020). Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions. Frontiers in Built Environment 6 : 49. ScholarBank@NUS Repository. https://doi.org/10.3389/fbuil.2020.00049 2297-3362 https://scholarbank.nus.edu.sg/handle/10635/196164 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Frontiers Media S.A. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	buildings energy efficiency data mining human building interactions intelligent personal comfort systems machine learning personal thermal comfort
spellingShingle	buildings energy efficiency data mining human building interactions intelligent personal comfort systems machine learning personal thermal comfort Ghahramani, A. Galicia, P. Lehrer, D. Varghese, Z. Wang, Z. Pandit, Y. Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
description	10.3389/fbuil.2020.00049
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Ghahramani, A. Galicia, P. Lehrer, D. Varghese, Z. Wang, Z. Pandit, Y.
format	Review
author	Ghahramani, A. Galicia, P. Lehrer, D. Varghese, Z. Wang, Z. Pandit, Y.
author_sort	Ghahramani, A.
title	Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
title_short	Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
title_full	Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
title_fullStr	Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
title_full_unstemmed	Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions
title_sort	artificial intelligence for efficient thermal comfort systems: requirements, current applications and future directions
publisher	Frontiers Media S.A.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/196164
_version_	1781792713423716352

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

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