Hybrid forecasting model of building cooling load based on combined neural network

The inefficient operation of air-conditioning system, which leads to its high-energy consumption, has aroused far-ranging concern at present. And an accurate prediction of building cooling load can be conducive to matching the supply and demand of the air-conditioning system, thus improving its oper...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 297; p. 131317
Main Authors:	Gao, Zhikun, Yang, Siyuan, Yu, Junqi, Zhao, Anjun
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.06.2024
Subjects:	algorithms Artificial neural network Building cooling load China Coleoptera energy Feature selection Hybrid forecasting model neural networks prediction Prediction accuracy supply balance China Prediction accuracy Feature selection Artificial neural network Building cooling load Hybrid forecasting model
ISSN:	0360-5442
Online Access:	Get full text
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