<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-27T14:32:38Z</responseDate><request identifier="10.35097/1492" metadataPrefix="datacite" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/1492</identifier><datestamp>2023-11-15T14:45:20Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><resource xmlns="http://datacite.org/schema/kernel-4"
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   <identifier identifierType="DOI">10.35097/1492</identifier>
   <creators>
      <creator>
         <creatorName>Förderer, Kevin</creatorName>
         <givenName>Kevin</givenName>
         <familyName>Förderer</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9115-670X</nameIdentifier>
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   <titles>
      <title>Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials</title>
   </titles>
   <publisher>Karlsruhe Institute of Technology</publisher>
   <dates>
      <date dateType="Created">2021</date>
   </dates>
   <publicationYear>2023</publicationYear>
   <subjects>
      <subject>Economics</subject>
      <subject>Smart Grid</subject>
      <subject>Demand Side Management</subject>
      <subject>Demand Side Flexibility</subject>
      <subject>Surrogate Modeling</subject>
      <subject>Energy Management System</subject>
      <subject>Artificial Neural Networks</subject>
      <subject>Machine Learning</subject>
   </subjects>
   <resourceType resourceTypeGeneral="Dataset"/>
   <rightsList>
      <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
      <rights>Other</rights>
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   <contributors>
      <contributor contributorType="RightsHolder">
         <contributorName>Förderer, Kevin</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0002-9115-670X</nameIdentifier>
      </contributor>
   </contributors>
   <descriptions>
      <description descriptionType="TechnicalInfo">This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. For an elaborate explanation of the contents please see README.md.</description>
   </descriptions>
   <alternateIdentifiers>
      <alternateIdentifier alternateIdentifierType="KITopen-DOI">10.5445/IR/1000137363</alternateIdentifier>
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