Del i serien Advances in Intelligent Energy Systems

Advanced Energy Management

Digitalization and AI for the Internet of Energy

Häftad, Engelska, 2026

2 349 kr

Kommande

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.

Presents the latest developments and future trends in advanced energy management following sustainable energy supply-transmission-distribution with energy storage
Explains the fundamentals of how AI can facilitate a low-carbon transition through sustainable energy and storage
Includes case studies and real-world applications of advanced energy management with AI and digitalization

Produktinformation

Utgivningsdatum2026-06-26
Mått152 x 229 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
SerieAdvances in Intelligent Energy Systems
Antal sidor290
FörlagElsevier Science
ISBN9780443340291

Tillhör följande kategorier

Energiteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

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.

1. Introduction to Artificial Intelligence for Energy and multidisciplinary research for Carbon Neutrality Transition2. Interconnection among climate change, performance response and anti-climate change strategies of multi-energy systems3. Big data and energy digitalization for sustainable energy supply-transmission-distribution with energy storages4. Integration of Renewable Energy Sources5. Internet of Thing (IoT) technologies for internet of energy (IOE)6. Machine learning for power forecasting on renewable systems7. Machine learning for demand predictions of buildings and transportations8. Machine learning for energy storage I-thermal and electrical and hydrogen energy storages9. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities10. Energy management systems (EMSs) in integrated energy systems with artificial intelligence11. Energy management systems (EMSs) in power grid12. Blockchain-based power trading security and privacy protection13. Digital energy-city information models for optimal EV charging stations and energy resilience14. Ethical considerations and societal impact of AI in energy systems15. Frontier regulatory and policy of advanced energy management for carbon neutrality transition16. Case studies and real-world applications of advanced energy management with AI and digitalization17. Sustainability and Environmental Impact Analysis18. Community engagement and participatory governance in the transition to zero-carbon communities