A data-driven approach for window opening predictions in non-air-conditioned buildings

Auteur(s):	Yu Fu (Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, People’s Republic of China) Tongyu Zhou (Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, People’s Republic of China) Isaac Lun (Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, People’s Republic of China) Fazel Khayatian (Urban Energy Systems Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland) Wu Deng (Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, People’s Republic of China) Weiguang Su (School of Mechanical & Automotive Engineering, Qilu University of Technology, Jinan, People’s Republic of China)
Médium:	article de revue
Langue(s):	anglais
Publié dans:	Intelligent Buildings International, juillet 2021, n. 3, v. 14
Page(s):	1-17
DOI:	10.1080/17508975.2021.1963651

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1080/17508975.2021.1963651.

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