21 citations as recorded by crossref.

1. High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas M. Cathelain et al. 10.1088/1742-6596/2505/1/012027
2. Characterization of wind speed and directional shear at the AWAKEN field campaign site M. Debnath et al. 10.1063/5.0139737
3. Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network C. Leme Beu & E. Landulfo 10.5194/wes-9-1431-2024
4. How generalizable is a machine-learning approach for modeling hub-height turbulence intensity? N. Bodini et al. 10.1088/1742-6596/2265/2/022028
5. Enabling Virtual Met Masts for wind energy applications through machine learning-methods S. Schwegmann et al. 10.1016/j.egyai.2022.100209
6. New methods to improve the vertical extrapolation of near-surface offshore wind speeds M. Optis et al. 10.5194/wes-6-935-2021
7. A temporal model for vertical extrapolation of wind speed and wind energy assessment P. Crippa et al. 10.1016/j.apenergy.2021.117378
8. Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation F. Rouholahnejad & J. Gottschall 10.5194/wes-10-143-2025
9. Validation of Reanalysis-Based Offshore Wind Resource Characterization Using Lidar Buoy Observations L. Sheridan et al. 10.4031/MTSJ.54.6.13
10. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. 10.5194/amt-14-4403-2021
11. Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble N. Bodini et al. 10.5194/wes-6-1363-2021
12. Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast N. Bodini et al. 10.5194/wes-8-607-2023
13. Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
14. Machine learning for predicting offshore vertical wind profiles F. Rouholahnejad et al. 10.1088/1742-6596/2626/1/012023
15. High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies — a case study from South Korea J. Shin et al. 10.1007/s00484-022-02287-1
16. The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al. 10.1007/s10462-024-10962-5
17. Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks Applied to Lidar Measurements A. García-Gutiérrez et al. 10.3390/s21113659
18. High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning L. de Montera et al. 10.5194/wes-7-1441-2022
19. Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. 10.5194/wes-8-621-2023
20. Wind speed vertical extrapolation model validation under uncertainty J. Quick et al. 10.1016/j.renene.2024.122028
21. Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain? V. Pronk et al. 10.5194/wes-7-487-2022