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Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks
The rapid growth of Distributed Energy Resources (DERs) has significantly expanded the cyber attack surface of modern power grids. Furthermore, increasing sophistication in attack techniques demands anomaly detection systems (ADS) that are accurate, interpretable, and reliable to support DER cyberse
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