Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method

11 Dec 2019Armin AligholianAlireza ShahsavariEd CortezEmma StewartHamed Mohsenian-Rad

A new data-driven method is proposed to detect events in the data streams from distribution-level phasor measurement units, a.k.a., micro-PMUs. The proposed method is developed by constructing unsupervised deep learning anomaly detection models; thus, providing event detection algorithms that require no or minimal human knowledge... (read more)

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