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【电气讲坛】Learning-Based Very-Short-Term Solar Prediction

点击:75次 发布人:kyb 发布时间:2019-07-29 08:59:18

报告名称

Learning-Based Very-Short-Term   Solar Prediction

时间

2019年8月5日上午9:00-10:00

地点

电气科学楼411会议室

主讲人

杨柳青

主办单位

澳门新浦京娱乐场网站、新能源微电网湖北省协同创新中心

备注

Dr.   Liuqing Yang (IEEE Fellow) received her Ph.D. degree in Electrical and   Computer Engineering from the University of Minnesota, Minneapolis, in 2004.   She is presently a Professor with Colorado State University. Her general   interests are in signal processing with applications to communications,   networking and power systems – subjects on which she has published more than   310 journal and conference papers, 4 book chapters and 5 books. Dr. Yang   became an IEEE Fellow in 2015. She was the recipient of the ONR Young Investigator   Program (YIP) award in 2007, and the NSF Faculty Early Career Development   (CAREER) award in 2009, the Best   Paper Award at the IEEE ICUWB’06, ICCC’13, ITSC’14, Globecom’14, ICC’16, and   WCSP’16, Globecom’18, ICCS’18 and ICC’19.    She is the editor in chief for IET   Communications, and has served as associate/senior editor for IEEE   Transactions on Communications, IEEE Transactions on Wireless Communications,   IEEE Transactions on Signal Processing, IEEE Transactions on Intelligent   Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical   Communication, as the Editor in Chief for IET Communications, and as program chair, track/symposium or   TPC chair for many conferences.

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