Gen AI in renewable energy integration enhances the efficiency and reliability of renewable energy sources like solar and wind power by forecasting weather patterns, optimizing energy storage, and ensuring grid stability. By integrating with renewable energy infrastructure, weather forecasting tools, and grid operators, these AI-powered energy management systems maximize renewable energy utilization while minimizing disruptions caused by variable energy generation. This approach not only predicts fluctuations in renewable energy generation based on weather data but also optimizes energy storage and distribution to maintain grid stability, enhances efficiency by balancing supply and demand in real time, reduces reliance on non-renewable backup energy sources, and improves sustainability by increasing the adoption of renewable energy.