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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250922T015504Z
UID:40447763-B6FB-4065-AA2E-C121AE24DA71
DTSTART;TZID=America/Los_Angeles:20250917T110000
DTEND;TZID=America/Los_Angeles:20250918T120000
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.\nTo address these challenges\, over the last few years\, ne
 w methodologies have been developed to create synthetic (fictitious) elect
 ric 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 research efforts in building synthetic grids and introduces
  some of the most recent public datasets available for large-scale electri
 c grid simulation research.\n\nCo-sponsored by: University of California R
 iverside\n\nSpeaker(s): Dr. Adam Birchfield\, \n\nVirtual: https://events.
 vtools.ieee.org/m/499059
LOCATION:Virtual: https://events.vtools.ieee.org/m/499059
ORGANIZER:mail@maxcherubin.com
SEQUENCE:70
SUMMARY:Creating Realistic Synthetic Electric Grids to Promote Open Science
  in Power Engineering
URL;VALUE=URI:https://events.vtools.ieee.org/m/499059
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 14pt\; font-family
 : arial\, helvetica\, sans-serif\;&quot;&gt;Before the advent of synthetic electri
 c grids\, public test cases for electric transmission grids were limited t
 o the IEEE test cases and similar datasets. While these have served the co
 mmunity well\, they do not match the size\, complexity\, or structure of t
 oday&amp;rsquo\;s bulk electric grids. Industry grid models\, however\, are no
 t publicly sharable because of critical energy infrastructure information 
 (CEII) designation and similar restrictions. &lt;br&gt;To address these challeng
 es\, over the last few years\, new methodologies have been developed to cr
 eate synthetic (fictitious) electric grid models that better match the siz
 e\, complexity\, and structure of actual grids\, while being free of CEII.
  This presentation discusses some of the latest research efforts in buildi
 ng synthetic grids and introduces some of the most recent public datasets 
 available for large-scale electric grid simulation research.&lt;/span&gt;&lt;/p&gt;
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