Advanced Energy Management

Digitalization and AI for the Internet of Energy
Erscheinungsjahr 2026
ISBN: 978-0-443-34029-1
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 290 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

Reihe: Advances in Intelligent Energy Systems

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.

Autoren/Hrsg.

Zhou, Yuekuan

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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 and electrical and hydrogen energy storages
9. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
10. Energy management systems (EMSs) in integrated energy systems with artificial intelligence
11. Energy management systems (EMSs) in power grid
12. Blockchain-based power trading security and privacy protection
13. Digital energy-city information models for optimal EV charging stations and energy resilience
14. Ethical considerations and societal impact of AI in energy systems
15. Frontier regulatory and policy of advanced energy management for carbon neutrality transition
16. Case studies and real-world applications of advanced energy management with AI and digitalization
17. Sustainability and Environmental Impact Analysis
18. Community engagement and participatory governance in the transition to zero-carbon communities

Über Autor(innen)

Zhou, Yuekuan
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.