17 citations as recorded by crossref.

1. Surrogate Models for Wind Turbine Load Estimation – Validation with Field Data S. Kottakat et al. https://doi.org/10.1088/1742-6596/3224/6/062057
2. Wake steering in offshore wind farms: Field experiment and SCADA-driven simulations for quantifying power and blade root loads H. Wang et al. https://doi.org/10.1016/j.oceaneng.2025.124001
3. Lifetime reassessment of offshore wind turbines considering different operating conditions using Kriging meta-models F. Schmidt et al. https://doi.org/10.5194/wes-11-3653-2026
4. Coordinated Optimization of Wind Farm Control Parameters for Primary Frequency Regulation Based on Fatigue Load Prediction M. Sun et al. https://doi.org/10.3390/app16094476
5. Hybrid Artificial Intelligence-based Computational Fluid Dynamics model for optimizing Offshore Wind Farm aerodynamics under variable marine climate conditions H. Ali et al. https://doi.org/10.18686/cest634
6. Trend-Aware Synthetic Time-Series Generation for Microgrid Design P. Motevakel et al. https://doi.org/10.1109/ACCESS.2026.3699529
7. The influence of flow-field representation on electrical power and fatigue-load surrogate modelling in offshore wind farms P. Ganapathi Subramanian https://doi.org/10.5194/wes-11-4041-2026
8. A physics-guided graph neural network framework for prediction of offshore wind farm power and fatigue loads J. Ma et al. https://doi.org/10.1016/j.oceaneng.2026.128208
9. Deep Learning Approaches for Offshore Wind Turbine Load Prediction: A Comparative Study Using Simulation, Measurement, and Transfer Learning D. Liu et al. https://doi.org/10.1088/1742-6596/3131/1/012030
10. Stress-Based Fatigue Diagnosis of Wind Turbine Blades Using Physics-Informed AI Reduced-Order Modeling J. Lee et al. https://doi.org/10.3390/en19010202
11. Multi-task learning long short-term memory model to emulate wind turbine blade dynamics S. Baisthakur & B. Fitzgerald https://doi.org/10.5194/wes-10-1979-2025
12. Kriging meta-models for damage equivalent load assessment of idling offshore wind turbines F. Schmidt et al. https://doi.org/10.5194/wes-10-3069-2025
13. Wind farm layout optimization in complex terrain considering wind turbine fatigue load constraint W. Liu et al. https://doi.org/10.1063/5.0249777
14. Multiphysics surrogate-based model updating of a jacket-supported offshore wind turbine using measured vibration and SCADA data N. Partovi-Mehr et al. https://doi.org/10.3389/fenrg.2026.1847071
15. A Time-Domain Approach for Aerodynamic Mass and Damping of Wind Turbine Blades P. Wang https://doi.org/10.3390/jmse14191857
16. Predicting power and fatigue loads of yawed large offshore wind turbine based on cross-scale transfer learning H. Qu et al. https://doi.org/10.1016/j.oceaneng.2026.126286
17. An open-access database for meta-models for fatigue calculations of reference wind turbines F. Schmidt et al. https://doi.org/10.1088/1742-6596/3224/7/072003