ASU Directory Profile
Yang Weng is an assistant professor at the School of Electrical, Computer and Energy Engineering (ECEE) of ASU. He received five degrees in three disciplines for an interdisciplinary research. He received his Ph.D. in Electrical and Computer Engineering (ECE) from Carnegie Mellon University, where he also obtained his M.S. degree in Machine Learning from the School of Computer Science. Before joining ASU, Yang was a TomKat postdoctoral scholar at Stanford University, where he is one of the leaders in a Department of Energy (DOE) sponsored project on visualization and machine learning for distribution systems with deep renewable penetration. Yang was the Best Paper Award winner of the 2012 International Conference on Smart Grid Communication. In 2013, his paper was ranked first at the same conference. In 2014, his paper was among the Best Papers at the IEEE Power and Energy Society General Meeting. In 2016, his paper won the Golden Best Paper Award at the International Conference on Probabilistic Methods Applied to Power Systems. His work was also recognized by an ABB fellowship from the industry.
Postdoc, TomKat Center for Sustainable Energy, Stanford University, 2016
Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2014
M.S., Machine Learning in Computer Science, Carnegie Mellon University, 2014
M.S., Electrical and Computer Engineering, Carnegie Mellon University, 2013
M.S., Statistics, University of Illinois at Chicago, 2010
B.S., Electrical Engineering, Huazhong University of Science and Technology, 2006
Power systems, machine learning, demand response, data analytics, cyber-physical systems, and convex optimization
Recognition and awards
Golden Best Paper Award at the International Conference on Probabilistic Methods Applied to Power Systems (2016), Best Papers at IEEE Power and Energy Society General Meeting (2014), ABB fellowship (2014), Ranking First at the International Conference on Smart Grid Communication (2013), Best Paper Award at the International Conference on Smart Grid Communication (2012).
Y. Weng, Y. Liao, and R. Rajagopal, “Distributed Energy Resources Connectivity Identification via Graphical Modeling”, IEEE Transactions on Power Systems, Vol. PP, vol. 32, no. 4, pp. 2682-2694, Jul. 2017.
Y. Weng, R. Negi, C. Faloutsos, and M. D. Ilic, “Robust Data-Driven State Estimation for Smart Grid”, IEEE Transactions on Smart Grids, pp. 1-12, Jul. 2017.
P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “A Sparse Linear Model and Significance Test for Individual Consumption Prediction”, IEEE Transactions on Power Systems, Vol. PP, No. 99, pp. 1-12, Mar. 2017
Y. Weng, M. D. Ilic, Q. Li, and R. Negi, “Convexification of Bad Data and Topology Error Detection and Identification Problems in AC Electric Power Systems”, IET Generation, Transmission & Distribution, vol. 9, no. 16, pp. 2760-2767, Dec. 2015.
Q. Li, T. Cui, Y. Weng, R. Negi, F. Franchetti, and M. D. Ilic, “An information theoretic approach to PMU placement in electric power systems”, IEEE Transactions on Smart Grid, Special Issue on Computational Intelligence Applications in Smart Grids, vol. 4, no. 1, pp. 446-456, Mar. 2013, Invited.
Y. Weng and D. Tuninetti, “Outage Analysis of Block-Fading Gaussian Interference Channels”, IEEE Transactions on Information Theory, vol. 57, no. 10, pp. 6487-6501, Oct. 2011.
Y. Liao, Y. Weng, C. Tan, and R. Rajagopal, “Urban Distribution Grid Line Outage Identification”, International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China, Oct. 2016. (Best Paper Award)
M. D. Ilic, X. Yin, Q. Liu, and Y. Weng, “Toward Combining Intra-Real Time Dispatch (RTD) and AGC for On-Line Power Balancing”, IEEE Power and Energy Society General Meeting (PESGM), National Harbor, MD, Jul. 2014. (Best Papers)
Y. Weng, R. Negi and M. D. Ilic, “Graphical Model for State Estimation in Electric Power Systems”, IEEE SmartGridComm Symposium (SGC), Vancouver, Canada, Oct. 2013. (Ranking First of All Submissions)
Y. Weng, R. Negi, and M. D. Ilic, “A Search Method for Obtaining Initial Guesses for Smart Grid State Estimation”, IEEE SmartGridComm Symposium (SGC), Tainan, Taiwan, Dec. 2012. (Best Paper Award)