ASM Terni (Italy)

Genetic algorithm-supervised graph shadow estimation for low-observability distribution feeders: calibrated validation on a real feeder

Real distribution feeders often operate under partial observability, while physics-based state estimators can be too slow for frequent digital-twin updates. This paper proposes a Genetic Algorithm (GA)-supervised graph surrogate for shadow state estimation using feeder topology,...