Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings

The effective prediction of building energy consumption can be used to optimize building operating modes and reduce the overall energy consumption and carbon emission of the building. To predict the energy consumption of the same type of building in the same area, it is often necessary to train sepa...

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Vydané v:	Energy (Oxford) Ročník 299; s. 131467
Hlavní autori:	Jiang, Ben, Li, Yu, Rezgui, Yacine, Zhang, Chengyu, Wang, Peng, Zhao, Tianyi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.07.2024
Predmet:	carbon data collection Deep neural network domain Encoder and decoder architecture energy Energy consumption prediction Multi-source domain generalization neural networks Office buildings prediction Deep neural network Multi-source domain generalization Encoder and decoder architecture Energy consumption prediction Office buildings
ISSN:	0360-5442
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