A review of physics-informed machine learning for building energy modeling

Building energy modeling (BEM) refers to computational modeling of building energy use and indoor dynamics. As a critical component in sustainable and resilient building development, BEM is fundamental to support a diverse spectrum of applications, including but not limited to sustainable building d...

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Vydáno v:	Applied energy Ročník 381; s. 125169
Hlavní autoři:	Ma, Zhihao, Jiang, Gang, Hu, Yuqing, Chen, Jianli
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2025
Témata:	algorithms artificial intelligence bioinformatics building controls Building energy modeling design design for environment energy model validation physical models Physics-constraint learning Physics-embedded algorithm structure Physics-informed machine learning prediction Physics-embedded algorithm structure Physics-informed machine learning Building energy modeling Physics-constraint learning
ISSN:	0306-2619
On-line přístup:	Získat plný text
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