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

Autor(en):	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)
Medium:	Fachartikel
Sprache(n):	Englisch
Veröffentlicht in:	Intelligent Buildings International, Juli 2021, n. 3, v. 14
Seite(n):	1-17
DOI:	10.1080/17508975.2021.1963651

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1080/17508975.2021.1963651.

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