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

Simon Daenens, Timothy Verstraeten, Pieter-Jan Daems, Ann Nowé, and Jan Helsen

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Cited articles

Akiba, T., Sano, S., Yanase, T., Ohta, T., and Koyama, M.: Optuna: A Next-generation Hyperparameter Optimization Framework, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 4–8 August 2019, Anchorage AK USA, 2623–2631, https://doi.org/10.1145/3292500.3330701, 2019. a

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Bleeg, J.: Graph Neural Networks for Power Prediction in Offshore Wind Farms using SCADA Data, J. Phys. Conf. Ser., 1618, 062054, https://doi.org/10.1088/1742-6596/1618/6/062054, 2020. a

Daenens, S., Vervlimmeren, I., Verstraeten, T., Daems, P.-J., Nowé, A., and Helsen, J.: Power prediction using high-resolution SCADA data with a farm-wide deep neural network approach, J. Phys. Conf. Ser., 2767, 092014, https://doi.org/10.1088/1742-6596/2767/9/092014, 2024. a