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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Veröffentlicht in:	Applied energy Jg. 381; S. 125169
Hauptverfasser:	Ma, Zhihao, Jiang, Gang, Hu, Yuqing, Chen, Jianli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2025
Schlagworte:	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
Online-Zugang:	Volltext
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