9 citations as recorded by crossref.

1. Machine Learning Solutions for Offshore Wind Farms: A Review of Applications and Impacts M. Masoumi 10.3390/jmse11101855
2. Using Transfer Learning to Build Physics-Informed Machine Learning Models for Improved Wind Farm Monitoring L. Schröder et al. 10.3390/en15020558
3. Surrogate models for the blade element momentum aerodynamic model using non-intrusive polynomial chaos expansions R. Haghi & C. Crawford 10.5194/wes-7-1289-2022
4. Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network S. Dou & N. Dimitrov 10.1088/1742-6596/2265/3/032069
5. Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey C. Yang et al. 10.3390/en16145562
6. Data-driven surrogate model for wind turbine damage equivalent load R. Haghi & C. Crawford 10.5194/wes-9-2039-2024
7. Wind Turbine Damage Equivalent Load Assessment Using Gaussian Process Regression Combining Measurement and Synthetic Data R. Haghi et al. 10.3390/en17020346
8. Large wind turbine blade design with mould sharing concept based on deep neural networks G. Guangxing et al. 10.1016/j.seta.2024.104131
9. Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression L. Avendaño-Valencia et al. 10.1016/j.renene.2021.02.003