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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Bibliographic Details

Published in:	Building and environment Vol. 239; p. 110388
Main Authors:	Xing, Tian, Sun, Kailai, Zhao, Qianchuan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2023
Subjects:	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
Online Access:	Get full text
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