“云上论电plus”系列学术讲座活动自举办以来得到了广大师生的高度认可，得到越来越多兄弟院校的支持。该活动旨在打破空间界限，充分发挥线上学习优势，实现优质电气讲座资源共享，促进跨校、跨方向学术交流，开阔同学们的学术视野。系列讲座活动计划邀请国内外能源领域专家学者与广大学子面对面，在满足研究生学术需求、提升研究生学术素养的同时，帮助研究生充分了解行业发展前沿、拓宽就业视野，树立正确价值导向、发挥就业引导功效。
【讲座时间】
2024年6月17日 10:00-12:00
【线上腾讯会议】
926 941 312
【嘉宾与分享主题】
报告专家：余南鹏
讲座主题：
Machine Learning for Power Systems:
From Pure Data-Driven to Physics-Informed Methods
嘉宾介绍：
Prof. Nanpeng Yu has been with the University of California, Riverside since 2014. He is a professor and the vice chair of Electrical and Computer Engineering Department and director of Energy, Economics, and Environment Research Center at The University of California, Riverside. Prof.Yu currently serves as an Associate Editor of IEEE Transactions on Smart Grid and IEEE Power Engineering Letters, and is the Chair of the IEEE PES Distribution System Operations and Planning Group and the IEEE PES Data-Driven Modeling, Monitoring, and Control of Electric Distribution Networks Working Group. He has a long history of research in the areas of machine learning and big data analytics, optimization and control of smart grids, transportation electrification, and power market design.
讲座简介：
The electric utility industry is being swamped by petabytes of data coming from various sources such as smart meters, phasor measurement units, SCADA systems, geographical information systems, and customer management systems. The primary and secondary value imbedded in the complex and heterogeneous data sets from power systems is immense. However, algorithms and applications for unlocking the potential of big data in power systems are at an early stage of development. Although off-the-shelf machine learning algorithms could improve the efficiency, reliability and resiliency of power systems, their potential is limited by the lack of physical-domain knowledge. This talk first covers the key applications of machine learning in power systems. Then I will present various pure data-driven and physics-informed machine learning algorithms for power transmission and distribution systems.
欢迎感兴趣的老师同学们
积极参与！
主办单位
清华大学电机工程与应用电子技术系研究生会
武汉大学电气与自动化学院研究生会
浙江大学电气工程学院研究生会
华中科技大学电气与电子工程学院研究生会
上海交通大学电子信息与电气工程学院研究生会
重庆大学电气工程学院研究生会
华北电力大学电气与电子工程学院研究生会
四川大学电气工程学院
香港大学电气与电子工程系研究生会
东北电力大学电气工程学院
来源：清华大学电机工程与应用电子技术系研究生会 审稿、责编：邹春航
