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    <identifier>10.57760/sciencedb.39735</identifier>
    <datestamp>2026-06-14T14:30:45Z</datestamp>
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  <dc:date>2026-06-14</dc:date>
  <dc:title>Wind Farm Power Forecasting Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.39735</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is designed for wind farm power forecasting research. It contains time-series data related to wind farm operation and meteorological conditions, and can be used for training, validation, and testing of wind power forecasting models. The dataset includes historical observations relevant to wind power prediction and is suitable for studies using machine learning, deep learning, and other time-series forecasting methods. The data files have been organized for experimental reproducibility and comparative analysis of forecasting algorithms.</dc:description>
  <dc:subject>Wind power forecasting; Wind farm; Time series forecasting</dc:subject>
  <dc:creator>Zou Wei</dc:creator>
  <dc:creator>Mei Ping</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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