Correlation-driven multi-level learning for anomaly detection on multiple energy sources

Taehee Kim, Jaeseok Jang, Hyuk-Yoon Kwon

Abstract: Highlights•Overcoming lacks of the annotated anomalies in energy consumption.•Correlation-driven learning model to detect anomalous energy consumption.•Showing the effectiveness in the real-world datasets.•Showing the scalability as new energy sources integrated.