معرفی
Wenyuan Tang is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on electricity markets, data analytics, machine learning, and optimization for power systems. He holds a Ph.D. in Electrical Engineering from the University of Southern California and completed postdoctoral work at UC Berkeley and Stanford.
Education:
- B.Eng. in Electrical Engineering, Tsinghua University (2008)
- M.S. Electrical Engineering & M.A. Applied Mathematics, University of Southern California (2010-2014)
- Ph.D. Electrical Engineering, University of Southern California (2015)
Research interests include power systems resilience, renewable energy integration, and microgrid management. Recent work emphasizes probabilistic forecasting, battery storage optimization, and multi-energy system coordination. He has received the NSF CAREER Award (2022), R. Ray Bennett Faculty Fellow Award (2021), and Goodnight Early Career Innovators Award (2023).
Awards:
- NSF CAREER Award (2022)
- R. Ray Bennett Faculty Fellow Award (2021)
- Goodnight Early Career Innovators Award (2023)
His work includes leadership in IEEE editorial roles and collaborations on projects like the DOE Solar Forecasting Prize. Research emphasizes bridging optimization theory with practical grid operations, focusing on resilience, efficiency, and sustainability.
