17 citations as recorded by crossref.

1. Case study of a bore wind-ramp event from lidar measurements and HRRR simulations over ARM Southern Great Plains Y. Pichugina et al. https://doi.org/10.1063/5.0161905
2. Modeling frontal low-level jets and associated extreme wind power ramps over the North Sea H. Baki et al. https://doi.org/10.5194/wes-10-1575-2025
3. Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR M. Pichault et al. https://doi.org/10.3390/en14092663
4. Wind resources of southeast Australia during peak electricity demand days C. Vincent et al. https://doi.org/10.5194/wes-10-2435-2025
5. Ramp Event Directional Forecasting for Wind Power Integration: A Regime-Stratified Ensemble Framework with Direction-Focused Training K. Stergiou & T. Karakasidis https://doi.org/10.3390/en19163794
6. Meteorology of hot and cloudy, high energy demand days in eastern Australia A. Brown et al. https://doi.org/10.1088/2753-3751/aeae42
7. A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes C. Rosca & A. Stancu https://doi.org/10.3390/app15073758
8. Associating Synoptic-Scale Weather Patterns with Aggregated Offshore Wind Power Production and Ramps B. Cheneka et al. https://doi.org/10.3390/en14133903
9. Validation of BARRA2 and comparison with MERRA-2 and ERA5 using historical wind power generation G. Palmer et al. https://doi.org/10.1071/ES24028
10. Analysis of operating modes of wind farms O. Sigitov & K. Suslov https://doi.org/10.30724/1998-9903-2025-27-6-112-123
11. ST-BiGRU-Transformer: A novel spatiotemporal fusion model for wind power ramp event prediction with dual-task learning J. Xu et al. https://doi.org/10.1063/5.0322452
12. Wind Power Forecasting Under Complex Weather: Error Mechanisms, Technical Advances and Challenges R. Hu et al. https://doi.org/10.3390/atmos17111046
13. Wind-Ramp Predictability K. Pereyra-Castro & E. Caetano https://doi.org/10.3390/atmos13030453
14. Wind Power Ramp Characterisation and Forecasting Using Numerical Weather Prediction and Machine Learning Models R. Sharp et al. https://doi.org/10.2139/ssrn.3997702
15. Quantitative comparison of power production and power quality onshore and offshore: a case study from the eastern United States R. Foody et al. https://doi.org/10.5194/wes-9-263-2024
16. Extreme winds, extreme potential: preparing Australia’s wind energy sector for a changing climate S. Poddar et al. https://doi.org/10.1088/2515-7620/aea526
17. LiDAR-based detection of wind gusts: An experimental study of gust propagation speed and impact on wind power ramps M. Pichault et al. https://doi.org/10.1016/j.jweia.2021.104864