Fuelling the Future : Intelligent Approaches for Harnessing Hydrogen Energy

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Fuelling the Future : Intelligent Approaches for Harnessing Hydrogen Energy

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 250 p.
  • 言語 ENG
  • 商品コード 9780443340901

Full Description

Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy presents insights into the use of machine learning tools to optimize hydrogen-based energy systems. This comprehensive guide explores the dynamic synergy between hydrogen energy solutions and machine learning applications, offering a roadmap for a sustainable and intelligent energy future. The book navigates the evolving landscape of hydrogen technologies, from production and storage to transportation and industrial applications with machine learning algorithms in optimizing efficiency, predictive analytics, and decision-making processes across the hydrogen value chain. The book presents a thorough examination of several machine learning algorithms applicable to hydrogen energy applications. A full explanation is given on how each strategy can be effectively used, allowing readers to pick and adopt the most appropriate approach for their circumstance. A series of real-world case studies demonstrates effective machine-learning applications in various hydrogen energy projects. These instances provide readers with useful insights into implementation tactics, problems encountered, and outcomes obtained, allowing them to draw practical lessons for their initiatives. Moreover, industry standards are integrated throughout the book, advising readers on compliance and best practices by recognizing the need to align with existing industry standards and regulations, helping professionals navigate the complicated regulatory landscape and modify machine learning solutions to suit industry standards. Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy serves as a strategic guide for students, researchers, and professionals to understand and capitalize on the transformational potential of incorporating machine learning into hydrogen technology.

Contents

1. Introduction
2. The Promise of Hydrogen Energy
3. Fundamentals of Hydrogen Energy
4. Biohydrogen: Present and Future
5. Intelligent Systems in Hydrogen Energy
6. Hydrogen-Fueled Technologies
7. Environmental and Economic Considerations
8. Case Studies in Hydrogen-Powered Industries
9. Challenges and Ethical Considerations
10. Future Trends and Innovations
11. Implementing ML Solutions in Hydrogen Projects
12. Sustainability and Social Impacts
13. Future Trends and Emerging Technologies
14. Global Perspectives on Hydrogen Energy
15. Conclusion and Outlook

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