Dr. Dan Li_APPEEC 2019

个人简介
李丹博士三峡大学
简介： Dr. Dan Li received the B.S., M.S., and Ph.D. degrees in electrical engineering from the School of Electrical Engineering at Chongqing University, Chongqing, China, in 2002, 2005, and 2017, respectively. From 2005 to 2011, she worked as an electrical engineer in Lin’an Power Supply Company, State Grid Zhejiang Electric Power Corporation of China. Since 2011, she has been with the College of Electrical Engineering & New Energy (CEENE), China Three Gorges University, Yichang, Hubei province, China. She is presently working as the vice dean of electrical engineering department, CEENE. She is having 8 years of teaching experience with 6 years of industrial experience. In recent years, she has hosted a National Natural Science Foundation (NNSF) and participated in 3 NNSFs and 5 horizontal projects. She has published more than 10 high-quality international journal and conference papers. Her current research interests include power system optimization operation, stochastic energy & load power prediction and power system uncertainty analysis.

个人简介

李丹博士
三峡大学

简介：

Dr. Dan Li received the B.S., M.S., and Ph.D. degrees in electrical engineering from the School of Electrical Engineering at Chongqing University, Chongqing, China, in 2002, 2005, and 2017, respectively. From 2005 to 2011, she worked as an electrical engineer in Lin’an Power Supply Company, State Grid Zhejiang Electric Power Corporation of China. Since 2011, she has been with the College of Electrical Engineering & New Energy (CEENE), China Three Gorges University, Yichang, Hubei province, China. She is presently working as the vice dean of electrical engineering department, CEENE. She is having 8 years of teaching experience with 6 years of industrial experience.

In recent years, she has hosted a National Natural Science Foundation (NNSF) and participated in 3 NNSFs and 5 horizontal projects. She has published more than 10 high-quality international journal and conference papers. Her current research interests include power system optimization operation, stochastic energy & load power prediction and power system uncertainty analysis.