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