The Role of AI in Sustainable Energy Management: Optimizing Renewable Energy Grids with Deep Learning

Abstract

The transition to renewable energy sources requires efficient management of power grids to ensure sustainability and reliability. This paper presents an AI-based optimization framework for managing renewable energy grids using deep reinforcement learning. The model predicts energy demand, optimizes grid distribution, and enhances load balancing using real-time data. The results from simulations indicate a significant reduction in energy wastage and improved grid efficiency. This study underscores the transformative potential of AI in advancing sustainable energy solutions.