Autoencoder Application for Anomaly Detection in Power Consumption of Lighting Systems

Detecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of...

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Veröffentlicht in:	IEEE access Jg. 11; S. 124150 - 124162
Hauptverfasser:	Smialkowski, Tomasz, Czyzewski, Andrzej
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Anomalies Anomaly detection autoencoder Encoding Energy consumption Industrial research Lighting Lighting systems Long short term memory Machine learning Monolayers Multilayers Power consumption Power management Power measurement Quality assessment road lighting systems Road safety Smart cities smart city Smart meters
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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