8 citations as recorded by crossref.

1. New methods to improve the vertical extrapolation of near-surface offshore wind speeds M. Optis et al. 10.5194/wes-6-935-2021
2. Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks Applied to Lidar Measurements A. García-Gutiérrez et al. 10.3390/s21113659
3. Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction J. Zhang et al. 10.1214/21-AOAS1460
4. Rejoinder to the discussion on A high‐resolution bilevel skew‐ t stochastic generator for assessing Saudi Arabia's wind energy resources F. Tagle et al. 10.1002/env.2659
5. Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D. Vassallo et al. 10.5194/wes-6-295-2021
6. Validation of Reanalysis-Based Offshore Wind Resource Characterization Using Lidar Buoy Observations L. Sheridan et al. 10.4031/MTSJ.54.6.13
7. On the estimation of boundary layer heights: a machine learning approach R. Krishnamurthy et al. 10.5194/amt-14-4403-2021
8. The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds N. Bodini & M. Optis 10.5194/wes-5-489-2020