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...