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

Produktinformation

  • Utgivningsdatum2025-09-26
  • Mått152 x 229 x undefined mm
  • Vikt450 g
  • SpråkEngelska
  • Antal sidor430
  • FörlagElsevier Science
  • EAN9780443340901

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