AI and Machine Learning for Energy Optimization

ML and AI can transform energy optimisation in numerous industries. This chapter discusses how AI and ML have revolutionized price, energy efficiency, and environmental sustainability. AI-powered systems can optimise the grid's renewable energy integration, manage energy resources in real time, and forecast consumption trends using optimization, and predictive analytics. Smart grids, renewable energy forecasting, industrial energy management, smart buildings, and EV charging infrastructure are major applications. This chapter also discusses these fields ML methodologies. Supervised learning estimates energy consumption, RL regulates energy adaptively, and deep learning analyzes complicated data. This chapter presents effective AI-driven energy solution case studies. Edge AI, decentralized energy management, and intelligent storage technologies are also covered. It address data security, ethical concerns, and regulatory compliance caused by AI's growing use in energy optimisation to achieve a sustainable and egalitarian future.