1 Ocak 2016 Dergi makalesi Açık Erişim

Atam, Ercan

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/53077</identifier>
  <creators>
    <creator>
      <creatorName>Atam, Ercan</creatorName>
      <givenName>Ercan</givenName>
      <familyName>Atam</familyName>
      <affiliation>Bogazici Univ, Dept Ind Engn, TR-34342 Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Decentralized Thermal Modeling Of Multi-Zone Buildings For Control Applications And Investigation Of Submodeling Error Propagation</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2016</publicationYear>
  <dates>
    <date dateType="Issued">2016-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/53077</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.enbuild.2016.05.029</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Centralized model predictive control is a popular and optimal approach for thermal control of multi-zone buildings. In centralized control of large-scale, multi-zone buildings, decentralized thermal modeling (including identification) may be useful since it may hard and computationally demanding to obtain a single model for the overall system. Success of a centralized predictive controller depends highly on the prediction accuracy of the used control model during control design phase.</description>
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