Our project is an AI-powered system designed to improve the reliability and efficiency of modern energy grids. As cities transition from traditional energy sources to a mix of renewable power and increased electric demand, managing the grid in real time has become significantly more complex.
We built a Grid Resilience Agent that combines machine learning with a digital twin of a city’s energy infrastructure. The system predicts energy demand, detects potential spikes, and recommends actions such as redistributing power or using stored energy to prevent outages—especially in critical locations like hospitals.
By simulating the grid before decisions are applied, our system allows for safer, smarter energy management. The real-time dashboard provides clear insights into grid behavior, helping users understand and respond to changing conditions instantly.
Our goal is to create a smarter, more adaptive energy system that reduces outages, improves efficiency, and supports the future of sustainable, electric-powered cities.
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