GridSense AI is an intelligent platform that leverages AI to optimize energy consumption, generation, and storage across a network of interconnected buildings or a defined urban district. It addresses the challenge of inefficient energy management at a community or campus level, which often leads to wasted energy, higher costs, and strain on the main grid. The platform integrates real-time data from smart meters, local renewable energy sources (e.g., solar panels), battery storage systems, and building management systems. Using predictive analytics and machine learning, GridSense AI dynamically forecasts energy demand and supply, identifies opportunities for demand response, optimizes energy routing within a microgrid, and can even facilitate peer-to-peer energy sharing, contributing significantly to energy transition goals and grid stability.