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Open access Oct 2026

Behavioral Knowledge Distillation for Dynamic Graph Anomaly Detection in Trustworthy Power Grid Dispatching

Trustworthy anomaly detection in power-grid dispatching requires alerts that are traceable to operational knowledge while satisfying real-time constraints. Existing data-driven detectors do not naturally encode behavioral rules, whereas placing a large language model (LLM) in the online decision loop introduces latency...

Zheng-Ning Pang, Ming-Hui Gao, Yong Han et al. · 0 citations

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