Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection

Researchers developed a physics-informed graph transformer network (PIGTN) for smart grid attack detection, using genetic algorithms to optimize sensor placement. The system achieved up to 37% accuracy improvement and 73% better detection rates while reducing false alarms to 0.3% across multiple power system benchmarks.