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* = applied session ! = JSM meeting theme
Activity Details
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16 * !
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Mon, 8/3/2020,
10:00 AM -
11:50 AM
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Virtual
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How Statistics and Data Science Help to Quantify Resilience of Power Systems — Invited Papers
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Section on Statistics in Defense and National Security, Section on Risk Analysis, Section on Statistical Learning and Data Science
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Organizer(s): Asim Dey, Princeton University and University of Texas at Dallas; Yulia Gel, University of Texas at Dallas
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Chair(s): Yuzhou Chen, Southern Methodist Univ, Statistical Science Dept
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10:05 AM
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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
Brian W Bush, NREL
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10:30 AM
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Geography and Network-of-Networks Properties
Stephen J Young, Pacific Northwest National Laboratory
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10:55 AM
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Topological and Geometric Methods for Resilience Analysis of Power Grid Networks
H. Vincent Poor, Princeton University; Yulia Gel, University of Texas at Dallas; Asim Dey, Princeton University and University of Texas at Dallas; Umar Islambekov, Bowling Green State University
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11:20 AM
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Floor Discussion
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