Artificial Intelligence in Energy Systems

Erscheinungsjahr 2026
ISBN: 978-0-443-44552-1
Verlag: Elsevier Science

Buch, Englisch, 368 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

Artificial Intelligence in Energy Systems introduces advanced artificial intelligence methods in the operations, management, and performance of renewable energy systems, focusing on wind energy, solar energy, and hydrogen systems. The book addresses key problems such as low accuracy and efficiency in traditional wind power system modeling and control, challenges in wind energy resource prediction and intelligent scheduling, intelligent fault management of wind and hydrogen energy systems, complex scheduling and energy management challenges of multi-energy complementary systems when connected to the grid, and scheduling and reliability challenges in multi-energy system grid connection. Real-world applications and case studies are used throughout to help readers integrate academic research with practical engineering applications, to enhance energy system design and management. This latest volume in the Elsevier Wind Energy Engineering Series is of interest to all those who are interested in the integration of AI in the operation of complex energy systems, including researchers, students, faculty, engineers, practitioners, and policy makers.

Autoren/Hrsg.

Tian, Zhuang

Zhou, Daming

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

1. Floating energy systems for climate resilience, adaptation and energy security: Foundations and strategic context
2. Economic dimensions and investment analysis for floating energy systems
3. Technological innovations in floating energy systems
4. Environmental considerations and ecological impacts of floating energy systems
5. Regional applications and climate resilience strategies in floating energy systems
6. Floating energy islands: Modular, multi-functional, multi-technology platforms
7. 3P Perspectives, priorities, and policy priorities for shaping the future of floating energy systems
8. Legal frameworks, policy mechanisms and regulatory innovation
9. Global market development and regional case studies
10. Environmental impact assessment best practices and legal frameworks
11. Social dimensions, stakeholder engagement, and community benefits
Appendix A: Global floating PV (FPV) projects
Appendix B: A global performance framework for floating energy systems: Key Performance Indicators and regional adaptation

Über Autor(innen)

Tian, Zhuang
Dr. Zhuang Tian is a researcher based at Northwestern Polytechnical University, China, where he is a member of the research team working on energy system modeling, control, and energy management, covering multiple areas such as wind energy and fuel cells. Dr. Tian has published numerous articles in reputed international journals and has been involved in several book publications.

Zhou, Daming
Prof. Daming Zhou is a Full Professor at Northwestern Polytechnical University, China, and a recipient of China’s National Youth Talent Program. His primary research areas include energy system modeling, control, and energy management, with over 10 years of research in wind energy, fuel cells, and other renewable energy technologies, currently as research team leader. Prof. Zhou has published more than 40 high-impact papers, with over 1,800 citations, and has authored four monographs. He holds eight patents.