10 citations as recorded by crossref.

1. Machine Learning Solutions for Offshore Wind Farms: A Review of Applications and Impacts M. Masoumi
2. Using Transfer Learning to Build Physics-Informed Machine Learning Models for Improved Wind Farm Monitoring L. Schröder et al.
3. Surrogate models for the blade element momentum aerodynamic model using non-intrusive polynomial chaos expansions R. Haghi & C. Crawford
4. Data-driven wind farm flow control and challenges towards field implementation: A review T. Göçmen et al.
5. Modelling of turbine power and local wind conditions in wind farm using an autoencoder neural network S. Dou & N. Dimitrov
6. Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey C. Yang et al.
7. Data-driven surrogate model for wind turbine damage equivalent load R. Haghi & C. Crawford
8. Wind Turbine Damage Equivalent Load Assessment Using Gaussian Process Regression Combining Measurement and Synthetic Data R. Haghi et al.
9. Large wind turbine blade design with mould sharing concept based on deep neural networks G. Guangxing et al.
10. Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression L. Avendaño-Valencia et al.