The DOE-funded Power Systems Engineering Research Center is offering a free public webinar that will present machine learning approaches to using
March 22, 2017
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The DOE-funded Power Systems Engineering Research Center (PSERC) is offering a free public webinar that will present machine learning approaches to using streaming data from PMUs to detect line outages in real time. These approaches are based on topological modeling, integer programming, and compressed sensing.
The webinar will be led by Stephen J. Wright from the Computer Science Department at the University of Wisconsin, Madison, where he researches computational optimization and its applications to many areas of science and engineering. Mr. Wright holds the George B. Dantzig Professorship, the Sheldon Lubar Chair, and the Amar and Balinder Sohi Professorship of Computer Sciences. Mr. Wright is currently the editor-in-chief of the SIAM Journal on Optimization and previously served as editor-in-chief/associate editor of Mathematical Programming (Series A and B), SIAM Review, SIAM Journal on Scientific Computing, and several other journals and book series.
The webinar will be held on March 28, 2017, from 2-3 p.m. ET. No pre-registration is necessary.
For more information and details on logging into the webinar, please see the announcement (PDF), or visit PSERC's website.