Flexible multi-fidelity framework for load estimation of wind farms through graph neural networks and transfer learning
G Duthé, F de N Santos, I Abdallah… - Data-Centric …, 2024 - cambridge.org
With global wind energy capacity ramping up, accurately predicting damage equivalent
loads (DELs) and fatigue across wind turbine populations is critical, not only for ensuring the …
loads (DELs) and fatigue across wind turbine populations is critical, not only for ensuring the …
Generalization of single wake surrogates for multiple and farm-farm wake analysis
F Pish, T Göçmen… - Journal of Physics …, 2024 - iopscience.iop.org
Wind farm efficiency is influenced by atmospheric turbulence and wake interactions from
preceding turbines. Optimal performance necessitates effective control strategies …
preceding turbines. Optimal performance necessitates effective control strategies …
RANS wake surrogate: Impact of Physics Information in Neural Networks
Abstract Artificial Neural Networks (ANNs) are being applied as a faster alternative to
Computational Fluid Dynamics (CFD) for wind turbine engineering wake models …
Computational Fluid Dynamics (CFD) for wind turbine engineering wake models …