Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network

With the rapid development of the economy and the continuous improvement of people's living conditions, building thermal comfort has become one of the essential objectives of the development of the smart district heating system (SDHS). The accurate prediction approach of indoor temperature is t...

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Bibliographic Details

Published in:	Applied energy Vol. 348; p. 121559
Main Authors:	Song, Jiancai, Bian, Tianxiang, Xue, Guixiang, Wang, Hanyu, Shen, Xingliang, Wu, Xiangdong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.10.2023
Subjects:	algorithms District heating system energy Forecasting algorithm Generative adversarial network Indoor temperature prediction neural networks prediction regression analysis temperature time series analysis District heating system Forecasting algorithm Generative adversarial network Indoor temperature prediction
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
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