Resilient cities depend on intelligent, self-healing power networks. AI-powered energy grids anticipate demand surges, reroute power flows, and manage microgrids dynamically. Solar arrays, wind turbines, and battery stores talk to prediction engines that balance supply, reduce waste, and maintain critical services during outages.
This post explores how AI microgrid controllers adapt in response to weather, traffic patterns, or community needs—enabling decentralized resilience. Examples include solar-powered island grids adjusting dynamically, smart neighborhoods dialing load based on grid conditions, and AI systems that forecast usage spikes and redistribute energy accordingly. It also discusses regulatory hurdles and infrastructure investment concerns. AI-run energy grids may be the foundation of future smart cities—silent, efficient, and continuously adaptive.