A data-driven approach for window opening predictions in non-air-conditioned buildings
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Intelligent Buildings International, July 2021, n. 3, v. 14 |
| Page(s): | 1-17 |
| DOI: | 10.1080/17508975.2021.1963651 |
- About this
data sheet - Reference-ID
10626921 - Published on:
05/09/2021 - Last updated on:
23/09/2022
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