AI-Driven Optimization of Renewable Energy Grids Enhancing Efficiency and Sustainability

الملخص

The integration of renewable energy sources into existing power grids presents significant challenges due to the variability and unpredictability of sources like wind and solar. This paper investigates the role of Artificial Intelligence (AI) in optimizing renewable energy grids to enhance their efficiency and sustainability. By leveraging machine learning, predictive analytics, and real-time data processing, AI offers transformative potential in overcoming the challenges of renewable energy management. This research reviews current AI applications in energy forecasting, storage optimization, and demand response, highlighting both the benefits and obstacles. The findings underscore the importance of AI in achieving a more resilient and sustainable energy future, while also identifying areas for future research.