Electricity Behavior Modeling and Anomaly Detection Services Based on a Deep Variational Autoencoder Network

Understanding electrical load profiles and detecting anomaly behaviors are important to the smart grid system. However, current load identification and anomaly analysis are based on static analysis, and less consideration is given to anomaly findings under load change conditions. This paper proposes...

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