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.
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Dr. Deepanraj Balakrishnan is currently working as Research Faculty in the Department of Mechanical Engineering, Prince Mohammad Bin Fahd University, Saudi Arabia. He has 12 years of working experience, which include both teaching and research. Dr. Deepanraj has published more than 150+ research articles in peer reviewed international journals and conferences and holds 4 Indian patents. He is serving as guest editor, editorial board member and reviewer for many international peer reviewed journals including well known publishers like Elsevier, Springer and Inderscience. His area of interest includes Renewable Energy Utilization; Energy Conservation and Waste Management with special focus on Bio-Energy.
Dr Prabhakar Sharma is currently working as Assistant Professor in the Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, India. He has 13 years of academic experience and 15 Years industrial experience in the aviation sector. His research interests include renewable energy, hydrogen energy, Machine learning, and Optimization.
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Taschenbuch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9780443340901
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