Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
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https://dataverse.no/citation?persistentId=doi:10.18710/LNXUIR
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<p>The supplementary materials provide the complete codebase for the Soft Ordering 1-D Convolutional Neural Network (1-D CNN) model for estimating the capacity factor of wind farms, as presented in "Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation" (PHME 2024).
<p>This research was funded by <b>Analytics for Asset Integrity Management of Windfarms (AIMWind)</b>, under grant no. <b>312486</b>, from the <b>Research Council of Norway (RCN)</b>. AIMWind is a collaborative research project from the University of Agder, Norwegian Research Center (NORCE), and TU Delft, with DNV and Origo Solutions as advisory partners.</p>
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DataverseNO
创建时间：
2026-02-13
