报告人：Minjie Zhang （Professor, University of Wollongong, Australia）
报告时间：2019年11月7日（星期四）10:00-11:30
报告地点：bat365中文官方网站新大楼318会议室
邀请部门：管理科学与工程系

报告人简介：

Professor Minjie Zhang received her Bachelor of Computer Science degree from Fudan University, China in 1982 and PhD from the University of New England, Australia, in 1996. Upon completion of her PhD, she had worked as a lecturer at Edith Cowan University and at Newcastle University, respectively. She joined the University of Wollongong, Australia, as a senior lecturer in 2001 and was later promoted to associate professor and then full professor. Professor Zhang is currently the Director of Centre for Big Data Analytics and Intelligent Systems at the University of Wollongong. As the principal supervisor, she has successfully supervised 13 PhD students to completion. She is the winner of the “Vice Chancellor Award of the Best Research Supervision” from theUniversity of Wollongong at 2013 and 2009.

Professor Zhang has authored or co-authored over 250 research papers. Her research has been funded by the Australia Research Council (ARC). She has been the chair/co-chair of over 25 International conferences/workshops. Her research interests include multi-agent systems and their applications in complex domains, distributed artificial intelligence, smart modeling and simulation in complex systems, data mining and knowledge discovery, service-oriented systems, agent-based grid/cloud computing, and smart grid systems. Professor Zhang has edited 15 scholarly books with Springer and 5 special issues with reputable journals. She is a seniormember of the IEEE and IEEE Computer Society.

报告摘要：

现代电网系统中的智能电网市场是一个复杂而开放的环境。电网市场包括不同类型的网格提供者和消费者，考虑不同消费者的行为和市场中不确定的因素的电力需求预测是非常重要而且具有挑战性的。本讲座将介绍两种方法来解决这个具有挑战性的问题：

1）基于Agent的模型智能电网市场中客户行为预测的方法；

2）利用深度学习方法预测不确定的市场环境中的需求。