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    <identifier>10.57760/sciencedb.15026</identifier>
    <datestamp>2024-01-10T14:45:36Z</datestamp>
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  <dc:date>2024-01-10</dc:date>
  <dc:title>Research dataset for multi-objective optimization design of photovoltaic skylights in large railway stations</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.15026</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The research dataset for multi-objective optimization design of photovoltaic skylights in large railway passenger stations is based on Grasshopper's Octopus plugin for multi-objective optimization, achieving the parameter set and objective function set of the converged Pareto solution. Exploring the optimal design of photovoltaic skylights for railway passenger stations in cold regions based on thermal comfort, solar radiation heat gain, and carbon emissions, providing data support and theoretical reference for architects&amp;nbsp;</dc:description>
  <dc:subject>photovoltaic skylights; solar heat gain; power generation; multi-optimization; low-carbon buildings</dc:subject>
  <dc:creator>Ge Biqiu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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