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...

Celý popis

Podrobná bibliografie

Vydáno v:	Energy and built environment Ročník 1; číslo 2; s. 149 - 164
Hlavní autoři:	Zhao, Yang, Zhang, Chaobo, Zhang, Yiwen, Wang, Zihao, Li, Junyang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2020 KeAi Communications Co., Ltd
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!