Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy explores the transformative potential of hydrogen as a clean, renewable energy source. The opening chapter delves into the global need to shift towards sustainable energy solutions, emphasizing hydrogen’s role in reducing carbon emissions and supporting the transition to a greener economy. It introduces machine learning as a cutting-edge tool for solving complex challenges associated with hydrogen production and utilization, offering a glimpse into a smarter, data-driven approach to energy management. It also navigates key issues such as scalability, cost-efficiency, and environmental impacts, ensuring a holistic understanding of hydrogen’s future in energy systems.

Beyond optimization, the book addresses practical applications of hydrogen energy in transportation, industry, and storage.

• Provides insights into the latest advancements in hydrogen production, storage, and utilization, fostering a deep understanding of the pivotal role hydrogen plays in a sustainable energy ecosystem
• Explores practical applications of machine learning, including predictive maintenance, energy consumption forecasting, and adaptive control systems, empowering industries to maximize efficiency and minimize environmental impact
• Presents real-world case studies that showcase the successful implementation of hydrogen energy and machine learning strategies across diverse industries, providing valuable lessons and benchmarks