SF Power and Energy Society Technical Presentation April 18, 2018
Title: Streaming Real-Time Analytics of Dynamic Data in Smart Grids
Presenter: Dr. Le Xie - Associate Professor and Eugene Webb Faculty Fellow, Department of Electrical and Computer Engineering, Texas A&M University
How to conduct real-time analytics of streaming data in the smart grid? This talk offers a dynamic systems approach to utilizing emerging data for improved monitoring of the grid. The first example of the talk presents how to leverage the underlying spatio-temporal correlations of synchrophasors for early anomaly (e.g., subsynchronous oscillations) detection and data quality outlier detection. The second example presents a coupon incentive-based approach to engaging end users demand flexibility. The underlying theme of the work suggests the importance of integrating data with dynamic context-aware models in smart grid.
Lunch will be provided (includes vegetarian). There will be a $5 fee to IEEE Members and a $10 fee to Non Members. Payments to be made in person (cash or check) at the event.
The SF PES Chapter AdCom is mindful of our environment and food waste. As a courtesy, please email our Secretary, Rahul Anilkumar (email@example.com) no later than the day before the event if you absolutely need to cancel your reservation. Thank you!
Date and Time
- Date: 18 April 2018
- Time: 11:45 AM to 01:00 PM
- All times are US/Pacific
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- 455 Golden Gate Avenue
- Milton Marks Conference Center - Lower Level
- San Francisco, California
- United States 94102
- Building: Hiram W. Johnson State Office Building (Cross streets: Polk and Larkin)
- Room Number: Benicia Room
Please use the link to the right to register. If you have any trouble or questions about the event, please email Rahul Anilkumar at firstname.lastname@example.org or by clicking the link above.
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Dr. Le Xie - Professor Texas A&M University
Dr. Le Xie is an Associate Professor and Eugene Webb Faculty Fellow in the Department of Electrical and Computer Engineering at Texas A&M University. He received B.E. in Electrical Engineering from Tsinghua University, S.M. in Engineering Sciences from Harvard, and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon in 2009. His industry experience includes ISO-New England and Edison Mission Energy Marketing and Trading. His research interest includes modeling and control in data-rich large-scale systems, grid integration of clean energy resources, and electricity markets.
Dr. Xie received the U.S. National Science Foundation CAREER Award, and DOE Oak Ridge Ralph E. Powe Junior Faculty Enhancement Award. He was awarded the 2017 IEEE PES Outstanding Young Engineer Award. He was recipient of Texas A&M Dean of Engineering Excellence Award, ECE Outstanding Professor Award, and TEES Select Young Fellow. He is an Editor of IEEE Transactions on Smart Grid, and the founding chair of IEEE Power and Energy Society Subcommittee on Big Data & Analytics for Grid Operations. He and his students received the Best Paper awards at North American Power Symposium and IEEE SmartGridComm. He recently chaired the 2018 NSF Workshop on Real-time Learning and Decision Making in Dynamical Systems.