Data & Model Driven Solutions for Smart and Sustainable Multi-Energy Systems
This Special Topic delves into the transformative potential of data- and model-driven approaches for smart and sustainable multi-energy systems. As global energy demands rise, achieving sustainability and resilience requires innovative solutions that integrate advanced AI, green hydrogen, and Power-to-X technologies, demand response, etc. Multi-energy systems, encompassing electricity, heat, and hydrogen, present unique challenges in optimization, coordination, and real-time operation. Researchers and engineers are tasked with developing intelligent methods to enhance system efficiency, reliability, and environmental performance. This collection shows cutting-edge advancements in AI and mathematics -driven energy management, offering critical insights for those dedicated to fostering intelligent and sustainable energy transitions.
Topics covered include, but are not limited to:
- AI-driven operation of multi-energy systems.
- Smart control of integrated energy networks.
- Resilience in multi-energy systems under uncertainties.
- Sustainable solutions with machine learning techniques.
- Real-time management of multi-energy microgrids.
- Decarbonization through renewable energy integration.
- Energy storage and demand response optimization methods.
- Green hydrogen integration for energy applications.
- Multi-objective optimization for hybrid energy systems.
- Intelligent energy trading in multi-energy networks.
Guest Editors
Zhengmao Li, School of Electrical Engineering, Aalto University, Helsinki, Finland (lead)
Sanchari Deb, School of Engineering, Newcastle University, Newcastle, United Kingdom
Pedro Henrique Juliano Nardelli, School of Energy Systems, Lappeenranta University of Technology, Lappeenranta, Finland
Jizhong Zhu , School of Electric Power Engineering, South China University of Technology, Guangzhou, China
Weiqi Hua, School of Engineering, University of Birmingham, Birmingham, United Kingdom
Xiaoyu Cao, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, China