Blockchain and Artificial Intelligence Technologies for Smart Energy Systems

1. Auflage 2023
ISBN: 978-0-367-77127-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 386 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1260 g

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artificial intelligence (AI) and Blockchain emerging as two of the most transformative technologies of our time. The convergence of these two technologies has the potential to create a paradigm shift in the energy sector, enabling the development of smart energy systems that are more resilient, efficient, and sustainable.

This book situates itself at the forefront of this paradigm shift, providing a timely and comprehensive guide to AI and Blockchain technologies in the energy system. Moving from an introduction to the basic concepts of smart energy systems, this book proceeds to examine the key challenges facing the energy system, and how AI and Blockchain can be used to address these challenges. Research examples are presented to showcase the role and impact of these new technologies, while the latest developed testbeds are summarised and explained to help researchers accelerate their development of these technologies.

This book is an indispensable guide to the current changes in the energy system, being of particular use to industry professionals, from researchers to management, looking to stay ahead of technological developments.

Zielgruppe

General, Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Sun, Hongjian

Hua, Weiqi

You, Minglei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Naturwissenschaften Physik Mechanik Energie
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

List of Figures

List of Tables

Foreword

Preface

Author Bios

Contributors

Section I Fundamental Theories

Chapter 1 Smart Energy Systems

Chapter 2 Theories of Artificial Intelligence

Chapter 3 Theories of Blockchain Technologies

Section II Applications in Smart Energy Systems

Chapter 4 Reforms in Energy Systems: Prosumers Era and Future Low Carbon Energy Systems

Chapter 5 Application of Artificial Intelligence for Energy Systems

Chapter 6 Implementation of Blockchain in Local Energy Markets

Chapter 7 Cyber Physical System Modeling for Energy Internet

Section III Testbeds for Smart Energy Systems

Chapter 8 Developing Testbeds for Smart Energy Systems

Über Autor(innen)

Hongjian Sun, Professor at Durham University, UK. He is the Head of Durham Smart Grid Laboratory and leads Smart Grid research at Durham, with over 180 papers in refereed journals and international conferences. His research has been funded by EU H2020, EU ERDF, EPSRC, BEIS, Ofgem, Innovate UK, and industry. He is also the Editor-in-Chief for the IET Smart Grid journal.

Weiqi Hua, Assistant Professor at the University of Birmingham, UK. He took postdoctoral positions at the University of Oxford, UK, and Cardiff University, UK, after receiving his Ph.D. from the University of Durham, UK. He is an Editorial Board Member of Applied Energy, and Editorial Board Member of Oxford Open Energy.

Minglei You, Assistant Professor at the University of Nottingham, UK. He is also a member of the Power Electronics, Machines and Control (PEMC) group. He received his Ph.D. from Durham University in 2019, as a recipient of the Durham Doctoral Scholarship. From 2019 to 2021, he was a Postdoctoral Research Associate with Durham University and Loughborough University.