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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Phoenix
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DTSTART:19671029T010000
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
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BEGIN:VEVENT
DTSTAMP:20250923T231623Z
UID:B126DF6A-76DD-43D8-AD5F-E82D69BE0EED
DTSTART;TZID=America/Phoenix:20250923T110000
DTEND;TZID=America/Phoenix:20250923T120000
DESCRIPTION:Before the advent of synthetic electric grids\, public test cas
 es for electric transmission grids were limited to the IEEE test cases and
  similar datasets. While these have served the community well\, they do no
 t match the size\, complexity\, or structure of today’s bulk electric gr
 ids. Industry grid models\, however\, are not publicly sharable because of
  critical energy infrastructure information (CEII) designation and similar
  restrictions. To address these challenges\, over the last few years new m
 ethodologies have been developed to create synthetic (fictitious) electric
  grid models that better match the size\, complexity\, and structure of ac
 tual grids\, while being free of CEII. This presentation discusses some of
  the latest research efforts in building synthetic grids and introduces so
 me of the most recent public datasets available for large-scale electric g
 rid simulation research.\n\nSpeaker(s): Adam Birchfield\, \n\nVirtual: htt
 ps://events.vtools.ieee.org/m/499318
LOCATION:Virtual: https://events.vtools.ieee.org/m/499318
ORGANIZER:Anamitra.Pal@asu.edu
SEQUENCE:26
SUMMARY:Synthetic Grids and Datasets to Promote Open Science in Power Engin
 eering
URL;VALUE=URI:https://events.vtools.ieee.org/m/499318
X-ALT-DESC:Description: <br /><p><span style="font-size: 12.0pt\; mso-bidi-
 font-size: 11.0pt\; font-family: 'Minion Pro'\,serif\; mso-fareast-font-fa
 mily: Calibri\; mso-fareast-theme-font: minor-latin\; mso-bidi-font-family
 : 'Times New Roman'\; mso-bidi-theme-font: minor-bidi\; mso-ansi-language:
  EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;">Before 
 the advent of synthetic electric grids\, public test cases for electric tr
 ansmission grids were limited to the IEEE test cases and similar datasets.
  While these have served the community well\, they do not match the size\,
  complexity\, or structure of today&rsquo\;s bulk electric grids. Industry
  grid models\, however\, are not publicly sharable because of critical ene
 rgy infrastructure information (CEII) designation and similar restrictions
 . To address these challenges\, over the last few years new methodologies 
 have been developed to create synthetic (fictitious) electric grid models 
 that better match the size\, complexity\, and structure of actual grids\, 
 while being free of CEII. This presentation discusses some of the latest r
 esearch efforts in building synthetic grids and introduces some of the mos
 t recent public datasets available for large-scale electric grid simulatio
 n research.</span></p>
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