A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis

•Supervised data mining-based methods for building energy systems are reviewed.•Unsupervised data mining-based methods for building energy systems are reviewed.•Strengths and shortcomings of the existing data mining-based methods are revealed.•Four important research tasks in the future are proposed...

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Bibliographic Details

Published in:	Energy and built environment Vol. 1; no. 2; pp. 149 - 164
Main Authors:	Zhao, Yang, Zhang, Chaobo, Zhang, Yiwen, Wang, Zihao, Li, Junyang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2020 KeAi Communications Co., Ltd
Subjects:	Big data Building energy efficiency Building energy systems Supervised data mining Unsupervised data mining Unsupervised data mining Building energy systems Big data Building energy efficiency Supervised data mining
ISSN:	2666-1233, 2666-1233
Online Access:	Get full text
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