The impact of deep learning–based equipment usage detection on building energy demand estimation
| Author(s): |
Shuangyu Wei
(Department of Architecture and Built Environment, University of Nottingham, Nottingham, UK)
Paige Wenbin Tien
(Department of Architecture and Built Environment, University of Nottingham, Nottingham, UK)
Yupeng Wu (Department of Architecture and Built Environment, University of Nottingham, Nottingham, UK) John Kaiser Calautit
(Department of Architecture and Built Environment, University of Nottingham, Nottingham, UK)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Building Services Engineering Research and Technology, July 2021, n. 5, v. 42 |
| Page(s): | 014362442110347 |
| DOI: | 10.1177/01436244211034737 |
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10626599 - Published on:
26/08/2021 - Last updated on:
14/09/2021
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