Special Session 8
AI Empowering Transportation-Energy Integration

"人工智能赋能交通能源融合"

With the large-scale application of electric vehicles, the continuous improvement of charging infrastructure, and the increasing share of distributed renewable energy, the boundaries between transportation infrastructure networks and energy networks are becoming increasingly blurred, and the deep integration of transportation and energy systems has become a critical pathway to achieving carbon neutrality and sustainable transportation. The transportation–energy integrated system is characterized by high dynamics, uncertainty, and complex coupling, for which artificial intelligence (AI) technologies provide a powerful means of real-time perception, prediction, optimization, and coordination. To this end, this special session aims to bring together researchers and practitioners from related fields to explore how AI can empower innovative applications in modeling, operation, and market mechanism design for transportation–energy integrated systems, thereby promoting interdisciplinary exchange and advancing the development of intelligent, low-carbon, and resilient transportation–energy integration.

随着电动汽车规模化应用、充电基础设施日益完善以及分布式可再生能源占比持续提升，交通基础设施网与能源网之间的边界日益模糊，交通与能源系统的深度融合已成为实现碳中和与可持续交通的关键路径。交通-能源融合系统具有高度动态性、不确定性和复杂耦合特征，人工智能技术为其实时感知、预测、优化和协调提供了有力手段。为此，本专题旨在汇聚相关领域的研究者与实践者，共同探讨人工智能如何赋能交通-能源融合系统在建模、运行及市场机制设计等方面的创新应用，以促进跨学科交流，推动智能、低碳、高韧性的交通能源融合发展。  

Topics of interest include, but are not limited to:
(1) AI-driven forecasting of transportation energy demand and analysis of energy-use behavior; AI驱动的交通用能需求预测与用能行为分析
(2) AI-driven joint operation optimization of transportation and energy systems; AI驱动的交通-能源联合运行优化
(3) AI-driven energy management for transportation hub energy systems; AI驱动的交通枢纽能源系统能量管理
(4) AI-driven resilience enhancement of transportation–energy integrated systems; AI驱动的交通-能源融合系统韧性提升
(5) AI-driven market mechanism design for integrated transportation–energy systems. AI驱动的交通-能源一体化市场机制设计

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Chair: Prof. Mingchao Xia, Shenyang University of Technology, China

Prof. Xia is a professor at Shenyang University of Technology. He received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 1998 and in 2003, respectively. Prof. Xia Mainly engaged in research on transportation-energy integration, transportation electrification, energy internet, active distribution network, comprehensive energy system, electric vehicle charging optimization, etc. He is a pioneer in the research of transportation-energy integration and interactive scheduling of flexible loads such as electric vehicles. His research works have been supported by over 15 funding such as the National Key R&D Program China, the National Natural Science Foundation of China's "Key" projects and many companies, with total funding exceeds 10M RMB. He has published more than 100 technical papers, filed 15 national patents, co-authored 2 textbooks, edited 1 book and granted 2 software copyrights. He is a Fellow of the IET and a Senior Member of IEEE, and vice chair of the IEEE PES China Chapters Council Conference Committee.  

Co-chair: Prof. Qifang Chen, Beijing Jiaotong University, China

Chen Qifang is a professor and doctoral supervisor at Beijing Jiaotong University. He is a recipient of the National High-level Young Talent Program and the Beijing Outstanding Backbone Talent Program. His research mainly focuses on optimal operation of new-type distribution systems, transportation–energy integration, and cyber-physical systems for distribution networks. He has led multiple research projects, including those funded by the National Natural Science Foundation of China and projects/tasks under the National Key R&D Program of China. He has received several science and technology awards, including the First Prize of the China Electric Power Science and Technology Progress Award, the First Prize of the Science and Technology Progress Award of the China Electrotechnical Society, the First Prize of the Innovation and Entrepreneurship Award of the China Association of Inventions, and the Second Prize of the Natural Science Award of the Ministry of Education.  

Co-chair: Dr. Yubin Wang, Beijing Jiaotong University, China

Wang Yubin is a lecturer and master's supervisor. He received his Ph.D. degree from Zhejiang University. His research interests mainly include optimal operation of integrated energy systems and transportation–energy integration and interaction. Over the past five years, he has published more than 20 papers in SCI/EI-indexed journals and filed/granted over 20 invention patents. He has led multiple research projects, including those funded by the National Natural Science Foundation of China and sub-projects under the Smart Grid 2030 National Science and Technology Major Project. He received the First Prize of the Science and Technology Progress Award of the China Electrotechnical Society in 2025 and was awarded the Outstanding Doctoral Dissertation of Zhejiang Province, among other science and technology awards. He was also selected for the National Funded Postdoctoral Researchers Program.