Elsevier Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy

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