Fourier Neural Operators outperform Physics-Informed Neural Networks in computational efficiency, convergence speed, and fidelity to multi-scale wake structures including meandering frequencies when trained on LES-AL data for floating offshore wind turbines.
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Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators
Fourier Neural Operators outperform Physics-Informed Neural Networks in computational efficiency, convergence speed, and fidelity to multi-scale wake structures including meandering frequencies when trained on LES-AL data for floating offshore wind turbines.