Overview

Advanced Energy Management: Digitalization and AI for the Internet of Energy presents the latest advances in the fields of distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses the problems of energy resilience under extreme climate and extreme events and presents new applications for energy-efficient, low-carbon, and energy-reliable cities. The book explains how energy management is used in multienergy systems for improved power dispatch, fast response, dynamic aging, and techno-economic performance. This book is an invaluable reference for students, researchers, and industry professionals seeking advanced energy management strategies, and will be of interest to anyone involved in carbon neutrality solutions.

Full Product Details

Author:   Yuekuan Zhou, PhD (Associate Proffessor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.450kg
ISBN:  

9780443340291

ISBN 10:   0443340293
Pages:   290
Publication Date:   01 June 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

1. Introduction to Artificial Intelligence for Energy and multidisciplinary research for Carbon Neutrality Transition 2. Interconnection among climate change, performance response and anti-climate change strategies of multi-energy systems 3. Big data and energy digitalization for sustainable energy supply-transmission-distribution with energy storages 4. Integration of Renewable Energy Sources 5. Internet of Thing (IoT) technologies for internet of energy (IOE) 6. Machine learning for power forecasting on renewable systems 7. Machine learning for demand predictions of buildings and transportations 8. Machine learning for energy storage I-thermal & electrical & hydrogen energy storages 9. Demand-side management and grid-response controls in Integrated energy management systems (IEMSs) 10. Energy management systems (EMSs) in integrated energy systems with artificial intelligence 11. Energy management systems (EMSs) in power grid 12. Peer-to-peer (P2P) energy sharing and trading, dynamic pricing and decision making in distributed energy markets 13. Blockchain-based power trading security and privacy protection 14. City-scale energy resilience and robustness with distributed energy systems 15. Ethical Considerations and Societal Impact of AI in Energy Systems 16. Frontier regulatory and policy of advanced energy management for carbon neutrality transition 17. Case studies and real-world applications of advanced energy management with AI and digitalization 18. Sustainability and Environmental Impact Analysis 19. Prospects, technical challenges, and future research directions on advanced energy management with artificial intelligence

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Author Information

Dr. Yuekuan Zhou is an Associate Proffessor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. His research aims at achieving smart zero-energy and zerocarbon district energy systems for carbon neutrality and climate change mitigation, via cleaner power production, energy-efficient system design and operation, innovation in smart energy integration, multi-objective optimization on nonlinear dynamic behaviours with artificial intelligence. Asst. Prof. Zhou has contributed to numerous publications in peer-reviewed journals. His current research interests include latent thermal storage, electrochemical battery, hydrogen and pumped hydro storages in zero-energy buildings, life-cycle carbon-neutral buildings, peer-to-peer energy trading and inter-city energy migration energy network with a hydrogen economy.

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