SB AdvisoryMay 20, 2020 update: Keep up with the latest from Stony Brook about the coronavirus situation.  More information
Skip Navigation
Search

ECE Departmental Seminar

Machine Learning and Big Data Analytics in Power Distribution Systems

Prof. Nanpeng Yu
UC Riverside

Thursday, 8/29/19, 11:30am
Light Engineering 250

AbstractThe electric utility industry is being swamped by petabytes of data coming from various sources such as smart meters, phasor measurement units, SCADA systems, geographical information systems, and customer management systems. The primary and secondary value embedded in the complex and heterogeneous data sets from power distribution systems is immense. However, algorithms and applications for unlocking the potential of big data in power systems are at an early stage of development. This talk discusses the recent advancement of machine learning algorithms and big data analytics methods in power distribution systems. In particular, we will explain how to develop hybrid algorithms, which synergistically combine the merits of state-of-the-art machine learning algorithms and physical model-based methods. We will take a deep dive into the following applications: network topology identification, electricity theft detection, estimation of behind-the-meter solar generation, and data-driven distribution system controls.

Bio: Dr. Nanpeng Yu received his B.S. in Electrical Engineering from Tsinghua University, Beijing, China, in 2006. Dr. Yu received his M.S. degrees in Electrical Engineering and Economics and Ph.D. degree from Iowa State University in 2010. Before joining University of California, Riverside, Dr. Yu was a senior power system planner and project manager at Southern California Edison from Jan, 2011 to July 2014. Currently, he is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside, CA. Dr. Yu is the recipient of the Regents Faculty Fellowship and Regents Faculty Development award from University of California. He received multiple best paper awards from IEEE Power and Energy Society General Meeting, IEEE Power and Energy Society Grand International Conference and Exposition Asia and the Second International Conference on Green Communications, Computing and Technologies. Dr. Yu is the director of Smart City Innovation Laboratory at UC Riverside. He currently serves as the vice chair of the distribution system operation and planning subcommittee of IEEE Power and Energy Society and the co-chair for IEEE Big Data Applications in Power Distribution Networks Task Force. Dr. Yu currently serves as the associate editor for IEEE Transactions on Smart Grid and International Transactions on Electrical Energy Systems.