AI in Renewable Energy: Enhancing Efficiency and Grid Optimization

Abstract

Artificial Intelligence is revolutionizing the renewable energy sector by improving efficiency, forecasting demand, and optimizing grid management. This paper examines AI-driven innovations in solar, wind, and hydroelectric power generation, focusing on predictive maintenance, energy load balancing, and smart grid automation. It explores how machine learning models enhance energy storage solutions and reduce reliance on fossil fuels. The study also discusses challenges such as AI model reliability, data privacy, and infrastructure integration. Case studies highlight successful AI applications in renewable energy projects, providing insights into the role of AI in accelerating the transition to a sustainable energy future.