Faris Al-Muqayyad @FarisMok

This project proposes an AI-powered smart grid management system to address inefficiencies in traditional grids. By utilizing machine learning to forecast energy demand and optimize distribution in real-time, the system can: - Reduce energy waste by intelligently balancing supply and demand. - Minimize reliance on fossil fuels by seamlessly integrating renewable energy sources like solar and wind power. - Contribute to a more sustainable and resilient energy infrastructure for the city. This project leverages machine learning, optimization algorithms, and big data analytics to create a smarter, cleaner, and more efficient urban energy landscape.