AI-Powered Predictive Analytics for Sustainable Energy Management

Abstract

Artificial Intelligence (AI) is revolutionizing energy management by optimizing power generation, consumption, and storage. This paper explores AI-driven techniques such as deep learning, reinforcement learning, and predictive analytics for forecasting energy demand, optimizing grid efficiency, and integrating renewable energy sources. Challenges like data quality, scalability, and cybersecurity risks are discussed. Case studies highlight AI implementations in smart grids, demonstrating reduced energy waste, cost savings, and enhanced sustainability.