The impact of deep learning–based equipment usage detection on building energy demand estimation
| Auteur(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)
|
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Building Services Engineering Research and Technology, juillet 2021, n. 5, v. 42 |
| Page(s): | 014362442110347 |
| DOI: | 10.1177/01436244211034737 |
- Informations
sur cette fiche - Reference-ID
10626599 - Publié(e) le:
26.08.2021 - Modifié(e) le:
14.09.2021
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