Kumar / Singh Rathore / Selvarajan | Quantum Blockchain for Renewable Energy | Buch | 978-0-443-44936-9 | www.sack.de

Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

Kumar / Singh Rathore / Selvarajan

Quantum Blockchain for Renewable Energy

A Practical Handbook
Erscheinungsjahr 2027
ISBN: 978-0-443-44936-9
Verlag: Elsevier Science

A Practical Handbook

Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

ISBN: 978-0-443-44936-9
Verlag: Elsevier Science


Quantum Blockchain for Renewable Energy: A Practical Handbook is a comprehensive guide to the integration of quantum computing, blockchain technology, and renewable energy systems to build a secure, decentralized, and efficient energy infrastructure. As traditional energy grids struggle with scalability, cyber threats, and inefficiencies, quantum blockchain offers a revolutionary solution by enhancing security, optimizing energy distribution, and enabling smart contracts for energy trading. The book explores key concepts such as quantum cryptography, blockchain consensus mechanisms, smart grids, and peer-to-peer energy transactions. By bridging the gap between quantum technology and sustainable energy, this resource provides a roadmap for building resilient and future-proof energy networks. There is also dedicated coverage of quantum hardware constraints, feasibility, and cost analysis, policy frameworks and global regulatory issues, ethical and societal implications, scalability and sustainability, and future opportunities. This is a useful resource for researchers, engineers, scientists, industry professionals, and policy makers with an interest in how quantum-secured blockchain technology can be applied to renewable energy networks.

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Weitere Infos & Material


Part I: The Future of Energy and Technology
1. The Energy Transition in the Quantum Age
2. Blockchain 3.0: Beyond Decentralization
3. Renewable Energy Systems in 2030 and Beyond

Part II: Quantum Blockchain Fundamentals
4. Quantum Computing for Beginners
5. Quantum Blockchain Architecture
6. Quantum Cryptography and Security

Part III: Applications in Renewable Energy
7. Quantum Blockchain for Smart Grids
8. Peer-to-Peer Energy Trading in the Quantum Era
9. Carbon Neutrality and Quantum Blockchain
10. Quantum AI for Renewable Energy Forecasting

Part IV: Futuristic Use Cases and Innovations
11. Exploratory Use Cases in Quantum Blockchain and Renewable Energy Systems
12. Quantum Blockchain for Space-Based Solar Power
13. Energy Harvesting and Quantum Blockchain
14. The Metaverse and Renewable Energy

Part V: Implementation and Scalability
15. Feasibility, Cost Analysis, and Hardware Constraints in Quantum Blockchain Renewable Energy Systems
16. Building Quantum-Ready Renewable Energy Systems
17. Regulatory, Policy and Ethical Considerations for Quantum Blockchain Renewable Energy Systems
18. Scalability and Sustainability of Quantum Blockchain Renewable Energy Systems

Part VI: Tools, Resources, and Future Directions
19. Quantum Blockchain Development Platforms
20. Case Studies from Around the World - Quantum Blockchain and Energy Systems
21. The Road Ahead for Quantum Blockchain Renewable Energy Systems: 2050 and Beyond


Selvarajan, Shitharth
Dr. Shitharth Selvarajan is currently a Lecturer in cyber security at Leeds Beckett University, United Kingdom. He completed his PhD at Anna University, India, and his postdoctoral research at the University of Essex, UK. He has worked at various institutions and has ten years of teaching experience. Dr. Shitharth has published over 130 articles in international journals, presented at 20 international or national conferences, and has filed four patents in intellectual property rights (IPR). He is a certified Hyperledger expert and a certified blockchain developer. His current research interests encompass cyber security, blockchain, critical infrastructure and systems, network security, and ethical hacking. He is an active researcher, reviewer, and editor for numerous international journals.

Kumar, Abhishek
Abhishek Kumar is Assistant Director and Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. in Computer Science from the University of Madras and is currently a Post-Doctoral Fellow with the Ingenium Research Group, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Rajasthan Technical University, Kota, India. He has over thirteen years of academic teaching experience. His research interests include artificial intelligence, computer vision, image processing, data mining, machine learning, and renewable energy systems. He has authored and edited several books with leading international publishers and serves as a reviewer for reputed journals.

Singh Rathore, Pramod
Dr. Pramod Singh Rathore is currently an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University Jaipur, in India. He completed his PhD in computer science and engineering at the University of Engineering and Management (UEM), Jaipur, India. With over 12 years of academic teaching experience, he has more than 85 publications in peer-reviewed national and international journals, books, and conferences. He has co-authored or co-edited numerous books with well-known publishers. Dr. Singh Rathore’s research interests include NS2, computer networks, mining, and DBMS. He serves on the editorial and advisory committees of the Global Journal Group and is also a member of various national and international professional societies in the fields of engineering and research, including the ACM and International Association of Engineers (IAENG).



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