13 citations as recorded by crossref.

1. Estimation of Planetary Boundary Layer Height From Lidar by Combining Gradient Method and Machine Learning Algorithms H. Li et al. 10.1109/TGRS.2023.3329122
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4. Enabling Virtual Met Masts for wind energy applications through machine learning-methods S. Schwegmann et al. 10.1016/j.egyai.2022.100209
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7. Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis Y. Zhu 10.1007/s11356-022-22957-2
8. Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques G. de Arruda Moreira et al. 10.1016/j.atmosres.2021.105962
9. Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction Z. Li et al. 10.1016/j.ress.2022.109078
10. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. 10.5194/amt-14-4403-2021
11. Improving Surface Wind Speed Forecasts Using an Offline Surface Multilayer Model With Optimal Ground Forcing J. Feng et al. 10.1029/2022MS003072
12. Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting D. Vassallo et al. 10.3390/en13205488
13. Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020