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Title	Detecting Anomalous Energy Consumptions In Smart Buildings - An Overview Of Two Unsupervised Techniques
ID_Doc	19180
Authors	Mund C.; Altherr L.C.
Year	2022
Published	Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
DOI	http://dx.doi.org/10.1109/CSCI58124.2022.00236
Abstract	In context of the increasing importance of monitoring our energy consumption due to our energy reserves running short, this paper gives an overview of existing possibilities to detect anomalous energy consumptions in smart cities based on unsupervised machine learning. After defining and presenting different types of anomalies, practical applications and methods for anomaly detection in context of smart cities are discussed. © 2022 IEEE.
Author Keywords	anomaly detection; energy consumption; smart buildings; smart city; unsupervised methods

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