Summary
AI-powered geospatial digital twins modeled and stress‑tested electric grid infrastructure under severe weather and climate scenarios. The system improved vegetation management, wildfire risk monitoring, and restoration planning. Real‑time data and predictive simulations reduced manual surveys and operational blind spots. The approach strengthened grid resilience, regulatory compliance, and community safety.