MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings

Indoor temperature prediction is an essential component of building control and energy saving. Although existing indoor temperature prediction frameworks have achieved remarkable progress, they struggle to achieve high performance due to information, method, application, and sim-to-real gaps. Aiming...

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Vydané v:	Building and environment Ročník 239; s. 110388
Hlavní autori:	Xing, Tian, Sun, Kailai, Zhao, Qianchuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2023
Predmet:	Encoder–decoder architecture Gated recurrent unit network Information fusion Multi-zone temperature prediction Multiple sensor information Encoder–decoder architecture Multi-zone temperature prediction Multiple sensor information Gated recurrent unit network Information fusion
ISSN:	0360-1323, 1873-684X
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