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Supplementary Data and Code for "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks"

Venzke, Andreas; Qu, Guannan; Low, Steven; Chatzivasileiadis, Spyros


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Venzke, Andreas</dc:creator>
  <dc:creator>Qu, Guannan</dc:creator>
  <dc:creator>Low, Steven</dc:creator>
  <dc:creator>Chatzivasileiadis, Spyros</dc:creator>
  <dc:date>2020-06-19</dc:date>
  <dc:description>Online appendix containing supplementary data and code to reproduce the simulation results in A. Venzke, G. Qu, S. Low and S. Chatzivasileiadis, "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks".

See readme.txt for a detailed description.

When publishing results based on this data/code, please cite: A. Venzke, G. Qu, S. Low and S. Chatzivasileiadis, "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks", 2020. Available online: https://arxiv.org/abs/2006.11029</dc:description>
  <dc:identifier>https://zenodo.org/record/3871755</dc:identifier>
  <dc:identifier>10.5281/zenodo.3871755</dc:identifier>
  <dc:identifier>oai:zenodo.org:3871755</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3871754</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ieee</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Neural networks</dc:subject>
  <dc:subject>Mixed-integer linear programming</dc:subject>
  <dc:subject>Optimal power flow</dc:subject>
  <dc:title>Supplementary Data and Code for "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks"</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
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