题目：AI/ML at the Core of Future Electricity Markets

报告人：Pierre Pinson教授，Imperial College London

时间：2025年4月23日（周三） 下午 14:00-15:30

地点：西主楼3-102

讲座简介

人工智能和机器学习将在未来的能源系统运行中发挥日益重要的作用。以天气和能源预测为例，多年来新的预测产品和范式不断发展，最终实现了完全基于人工智能的天气预测。同样，机器学习和先进的优化技术如今也使得电力潮流优化更加安全可靠。在市场方面，数字化和人工智能将推动市场结构和运行模式的变革。本报告将从更以人为本的视角探讨这些发展带来的机遇。此外，未来的市场应当建立激励机制促进数据共享（直接的货币激励或其他激励方式）。报告还将讨论当前面临的挑战和研究方向。

AI and machine learning will take an increasing and a crucial role in the operation of future energy systems. Taking the example of weather and energy forecasting, new forecasting products and paradigms have developed over the years, culminating in the recent success of fully AI-based weather forecasting. Similarly, ML and advanced optimization techniques now allow for safe and trustworthy power flow optimization. On the market side, digitization and AI will also be a core enabler of a complete rethinking of their structure and operation. We will discuss the opportunities offered by these developments, with a more human-centric point of view. In addition, future markets should seamlessly provide incentives for data sharing (which may be monetary or not). Current challenges and research directions will be discussed.

嘉宾简介

Pierre Pinson是伦敦帝国理工学院（ICL）Dyson设计工程学院的教授、副院长，Halfspace公司的首席科学家、丹麦技术大学（DTU）的兼职教授以及奥胡斯大学（CoRE）的副研究员。Pierre Pinson担任《国际预测杂志》的主编，IEEE fellow，国际运筹学与管理科学学会（INFORMS）会员以及国际预测学会（IIF）理事。2019年至2023年，他凭借在统计学、气象学、经济学以及电力/能源工程领域众多高影响力的研究成果，连续入选WoS/Clarivate跨领域类别的高被引学者名单。Pierre Pinson被公认为国际预测分析领域的领军人物。2024年，他凭借在运筹学、分析学和管理科学方面的卓越成就，荣获国际运筹学与管理科学学会弗兰茨·埃德曼奖（INFORMS Franz Edelman Award）。

Pierre Pinson is a Professor at Imperial College London, Dyson School of Design Engineering, and the Deputy-head of School. He is also a chief scientist at Halfspace, an affiliated professor at the Technical University of Denmark, and an associate research fellow at Aarhus University (CoRE). He is the Editor-in-Chief of the International Journal of Forecasting. He is an IEEE Fellow, as well as an INFORMS member and an IIF director. He is on the Highly-cited Researcher list of WoS/Clarivate over 2019-2023 (cross-field category) for numerous high-impact works in statistics, meteorology, economics and power/energy engineering. He is seen as a leading figure internationally within predictive analytics. He has received the INFORMS Franz Edelman Award 2024 for outstanding achievements within operations research, analytics and management science.