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UID:submissions.pasc-conference.org_PASC23_sess183_pap146@linklings.com
SUMMARY:Understanding the Computing and Analysis Needs for Resiliency of P
 ower Systems from Severe Weather Impacts
DESCRIPTION:Paper\n\nJibonananda Sanyal (National Renewable Energy Laborat
 ory); Melissa Dumas, Sangkeun Lee, and Supriya Chinthavali (Oak Ridge Nati
 onal Laboratory); Jennifer King (National Renewable Energy Laboratory); an
 d Srijib Mukherjee (Oak Ridge National Laboratory)\n\nAs the frequency and
  intensity of severe weather has increased, its effect on the electric gri
 d has manifested in the form of significantly more and larger outages in t
 he United States. This has become especially true for regions that were pr
 eviously isolated from weather extremes. In this paper, we analyze the wea
 ther impacts on the electric power grid across a variety of weather condit
 ions, draw correlations, and provide practical insights into the operation
 al state of these systems. High resolution computational modeling of speci
 fic meteorological variables, computational approaches to solving power sy
 stem models under these conditions, and the types of resiliency needs are 
 highlighted as goal-oriented computing approaches are being built to addre
 ss grid resiliency needs.\n\nDomain: Engineering, Computer Science, Machin
 e Learning, and Applied Mathematics 
\n\nSession Chair: Johannes Gebert (H
 igh-Performance Computing Center Stuttgart, University of Stuttgart)
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