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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
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DTSTART:20230101T000000
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DTSTART;TZID=Asia/Kolkata:20231124T150000
DTEND;TZID=Asia/Kolkata:20231124T170000
DTSTAMP:20260526T044012
CREATED:20231124T054903Z
LAST-MODIFIED:20231124T054903Z
UID:241160-1700838000-1700845200@ee.iisc.ac.in
SUMMARY:Physics-Aware AI for Enabling Grid Resiliency
DESCRIPTION:Title:  Physics-Aware AI for Enabling Grid Resiliency\n  \nSpeaker:  \nDr. Anurag K Srivastava \nRaymond J. Lane Professor and Chairperson\, \nLane Department of Computer Science and Electrical Engineering \nDirector\, Smart Grid REsearch and Analytics Lab (SG-REAL) \nWest Virginia University\, Morgantown\, WV\, USA \n\nDate: 24th November 2023\, 3 pm \n  \nVenue: MMCR\, EE Dept\, IISc \n  \n  \nAbstract: \nAvailability of data from massive sensors deployment in the cyber-physical electric grid enables new monitoring and control applications.  Advancement in artificial intelligence (AI) provides an opportunity to develop data-driven technique utilizing these datasets. Some possible applications include\, early alarm and diagnosis\, predicative analysis\, distributed and decentralized control. New applications need to consider physics-induced limits and high-performance requirement in a dynamic environment. Availability of additional sensor data brings its own challenges including data anomalies\, real time processing\, data fusion\, data management and cyber-security management.  Differentiating between data anomalies\, cyber events and physical system events can be very challenging due to the similar signatures. This talk will focus on limits of AI for dynamic power grid applications\, example of Physics-Aware Machine Learning (PAAI) applications to enhance situational awareness\, and associated challenges and opportunities for enabling power grid resiliency. \n  \n \n  \nSpeaker Bio: Anurag K. Srivastava is a Raymond J. Lane Professor and Chairperson of the Computer Science and Electrical Engineering Department at the West Virginia University. He is also an adjunct professor at the Washington State University and senior scientist at the Pacific Northwest National Lab. He received his Ph.D. degree in electrical engineering from the Illinois Institute of Technology in 2005. His research interest includes data-driven algorithms for power system operation and control including cyber-resiliency analysis. Dr. Srivastava high impact research projects resulted in tools installed at the utility control center supported for more than $50M by US Department of Energy\, National Science Foundation\, Siemens Corporate Research\, Electric Power Research Institute\, Schweitzer Engineering Lab\, Power System Engineering Research Center\, Office of Naval Research and several National Labs. He is an IEEE Fellow and the author of more than 360 technical publications including three books on power system security and resiliency as well as 3 patents.
URL:https://ee.iisc.ac.in/event/physics-aware-ai-for-enabling-grid-resiliency/
LOCATION:MMCR\, Hall C 241\, 1st floor\, EE department
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