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. |
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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. | | | |  |
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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 |
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Submission Deadline: November 14, 2025 | | | | |
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