Artificial Intelligence for Renewable Energy Sources: Opportunities, Challenges, and Future Prospects

Abstract

The global energy transition towards sustainability has accelerated the adoption of renewable energy sources (RES) such as solar, wind, and hydropower. However, integrating these variable and decentralized energy systems into the grid presents significant challenges. Artificial Intelligence (AI) offers innovative solutions to optimize, forecast, and manage renewable energy systems. This paper explores the role of AI in addressing critical challenges in renewable energy, including resource prediction, operational efficiency, and grid stability. The study highlights key applications, current limitations, and future directions for AI-driven advancements in renewable energy..