Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks

Efficient management of building energy consumption is paramount for sustainability and cost-effectiveness, where anomalies in energy usage patterns can signify malfunctions, inefficiencies, or even potential hazards within the building systems. To address this problem, this study introduces an Asym...

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Vydané v:	Renewable & sustainable energy reviews Ročník 207; s. 114975
Hlavní autori:	Zhang, Limao, Guo, Jing, Lin, Penghui, Tiong, Robert L.K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2025
Predmet:	Anomaly detection Building energy consumption Deep learning Encoder-decoder Deep learning Building energy consumption Encoder-decoder Anomaly detection
ISSN:	1364-0321
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