Review on AI for Sustainable Energy Management in Smart Cities

Abstract

With the increasing demand for energy in rapidly urbanizing cities, ensuring sustainability while maintaining efficiency has become a critical challenge. Artificial Intelligence (AI) is transforming energy management in smart cities by optimizing energy consumption, integrating renewable sources, and enhancing grid reliability. This review paper explores the role of AI-driven solutions in sustainable energy management, focusing on smart grids, energy-efficient buildings, predictive analytics for demand forecasting, and real-time energy optimization. By analyzing case studies from Indian smart cities, this study identifies existing challenges such as data security, infrastructure limitations, and policy constraints. Furthermore, it highlights the potential of AI in supporting decentralized energy systems, such as microgrids and peer-to-peer energy trading, fostering a more resilient and adaptive urban energy ecosystem. This review aims to provide valuable insights for urban planners, policymakers, and researchers working toward AI-powered sustainable energy solutions in smart cities.