A short-term building cooling load prediction method using deep learning algorithms

•Deep learning-based methods are developed for building cooling load prediction.•Accurate predictions on 24-h ahead building cooling load profiles are achieved.•The potentials of supervised and unsupervised deep learning is investigated.•Features extracted by unsupervised deep learning can improve m...

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Bibliographic Details
Published in:Applied energy Vol. 195; pp. 222 - 233
Main Authors: Fan, Cheng, Xiao, Fu, Zhao, Yang
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2017
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ISSN:0306-2619, 1872-9118
Online Access:Get full text
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