主题：A bilevel game-theoretic decision-making framework for modelling electricity and carbon markets

主讲人：Fanlin Meng 副教授 英国埃克塞特大学

讲座时间：2026年4月13日（星期一）13:30-15:30

讲座地点：校本部诚明楼213会议室

主办单位：管理工程学院

讲座摘要：

With energy transition and net zero targets, the electricity market has gone through significant reforms at both supply side (e.g. integration of renewable energy) and demand side (e.g. integration of low carbon technologies such as electric vehicles and demand response). Recently, carbon markets were also created to engineer the transition to net zero society. To understand behaviors of participants in those markets in order to optimize the market operations, it is important to model their interactions appropriately. Game theoretic and hierarchical decision-making methods (e.g. bilevel optimization) have been developed to model those market behaviors. I will discuss our recent and ongoing research on bilevel game-theoretic decision making in the electricity market and carbon market modelling.

主讲人简介：

Dr Fanlin Meng is currently a Senior Lecturer (Associate Professor) in Operations and Analytics at University of Exeter Business School where he is also the Research Lead in the same subject area. Prior to joining Exeter, he was a Lecturer in Data Science (Alliance Manchester Business School) at the University of Manchester where he received his PhD in Computer Science department (machine learning and optimisation). Dr Meng's primary research interests include Electricity Market, Carbon Market, Smart Energy and Mobility, Machine Learning, Game Theory and Optimisation. With a strong interdisciplinary background, his research has appeared in leading journals in Business and Management (such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation), Energy (such as IEEE Transactions on Smart Grid, Renewable and Sustainable Energy Reviews), AI and Intelligent Systems (such as Neural Networks, IEEE Transactions on Industrial Informatics). He is a Fellow of British Computer Society (FBCS), and Editorial Board Member of Complex & Intelligent Systems.