Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data
<p>This paper introduces a novel model for predicting wind turbine power output in a wind farm at a high temporal resolution of 30 s. The wind farm is represented as a graph, with graph neural networks (GNNs) used to aggregate selected input features from neighboring turbines. A temporal compo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-06-01
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| Series: | Wind Energy Science |
| Online Access: | https://wes.copernicus.org/articles/10/1137/2025/wes-10-1137-2025.pdf |
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