301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – December 3-5, 2024
The course provides background information, real-world development experience, and in-depth discussions of big data analytics and machine learning in power systems and smart grid. The value, velocity, volume, and variety of big data in smart grid will be discussed. The basics of machine learning algorithms such as unsupervised learning, supervised learning, reinforcement learning algorithms, graphical learning, and generative models will be covered and taught. Important real-world applications of big data analytics and machine learning in transmission system, distribution system, and electricity market will be presented and discussed.
Speaker
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Nanpeng YuAssociate Professor, University of California, RiversideDr. Yu received his Ph.D. degree in Electrical Engineering from Iowa State University in 2010. Dr. Yu was a senior power system planner and project manager at Southern California Edison from 2011 to 2014.
He is an associate professor of Electrical and Computer Engineering at University of California, Riverside, CA.Speaking Experience:
Dr. Yu has offered the industry course entitled machine learning and big data analytics for more than 10 times to over 400 electric utility attendees in the past five years.Dr. Yu received his B.S. in Electrical Engineering from Tsinghua University, Beijing, China, in 2006. Dr. Yu also 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 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 Grand International Conference and Exposition Asia and the Second International Conference on Green Communications, Computing and Technologies. Dr. Yu also received three best paper finalist awards from IEEE Power and Energy Society General Meeting.
Dr. Yu is the director of Energy, Economics, and Environment Research Center at UC Riverside. Dr. Yu is also a cooperating faculty member of the department of computer science and engineering and department of Statistics. He currently serves as the vice chair distribution system operation and planning subcommittee of IEEE Power and Energy Society and the chair for IEEE Power and Energy Society Working group of data-driven modeling, monitoring and control for Power Distribution Networks. Dr. Yu currently serves as the associate editor for IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, and IEEE Power Engineering Letters.
Pricing
Virtual Training
In-Person Training
Virtual Training
UAI Member
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Regular Pricing: $895
Non-Member
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Regular Pricing: $1095
In-Person Training
UAI Member
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Regular Pricing: $1895
Non-Member
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Regular Pricing: $2395