This book explores the transformative impact of artificial intelligence technologies — including machine learning and deep learning — across multiple sectors of the energy industry, spanning from turbine engineering to renewable energy systems.

The opening chapters examine how AI is reshaping energy production through enhanced efficiency, predictive maintenance, and operational optimization in both conventional and renewable power plants. Key topics include AI-driven performance improvements in gas, wind, and hydraulic turbines, as well as advanced control of temperature and emissions in the combustion processes of thermal and nuclear facilities.

Subsequent chapters turn to AI applications within renewable energy infrastructures — covering solar, wind, and hybrid power systems — alongside the intelligent management of smart grids and energy distribution networks. The book then ventures into more forward-looking territory, addressing breakthroughs in sustainable energy, carbon capture technologies, green hydrogen production, and fuel cell systems.

The closing chapters adopt a future-oriented perspective, examining emerging trends such as the integration of quantum computing into energy frameworks, and the practical challenges of deploying the Internet of Things and edge AI within next-generation energy systems.