Spatio-temporal graph neural networks for power prediction in offshore wind farms using SCADA data

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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Bibliographic Details
Main Authors: S. Daenens, T. Verstraeten, P.-J. Daems, A. Nowé, J. Helsen
Format: Article
Language:English
Published: Copernicus Publications 2025-06-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/10/1137/2025/wes-10-1137-2025.pdf
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