Fuelling the Future: Intelligent Approaches for Harnessing Hydrogen Energy

· ·
· Elsevier
Ebook
250
Pages
Eligible
Ratings and reviews aren’t verified  Learn More

About this ebook

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. - 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 showcasing successful implementations of hydrogen energy and machine learning strategies across diverse industries, providing valuable lessons and benchmarks

About the author

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.

Dr. Ali Hussain is working as an Associate Professor in the Institute of Zoology, University of the Punjab, Lahore, Pakistan. He is a leading Microbial Biotechnologist. Energy and environment are the key domains of his research. His current research interests include microbial conversion of agro-industrial wastes into bioenergy, and molecular ecology and biotechnology of the microbes responsible for the efficient bioremediation of various industrial effluents. Microbial groups of special interest to him are methanogens, microalgae, hydrogen-producing, and sulfate-reducing prokaryotes. He has more than 125 articles in different international journals, and 6 book chapters in edited books to his credit. He is also the Associate Editor of BMC Microbiology.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.