19 citations as recorded by crossref.

1. Robust estimation of wind power ramp events with reservoir computing M. Dorado-Moreno et al. https://doi.org/10.1016/j.renene.2017.04.016
2. A novel approach for power ramps classification in wind generation M. Eltohamy et al. https://doi.org/10.1038/s41598-023-48443-4
3. Smoothing ramp events in wind farm based on dynamic programming in energy internet J. Li et al. https://doi.org/10.1007/s11708-018-0593-8
4. 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
5. Prediction-Learning Algorithm for Efficient Energy Consumption in Smart Buildings Based on Particle Regeneration and Velocity Boost in Particle Swarm Optimization Neural Networks S. Malik & D. Kim https://doi.org/10.3390/en11051289
6. A review on the recent history of wind power ramp forecasting C. Gallego-Castillo et al. https://doi.org/10.1016/j.rser.2015.07.154
7. State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis B. Yang et al. https://doi.org/10.1016/j.jclepro.2020.124628
8. Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data L. Cornejo-Bueno et al. https://doi.org/10.3390/en10111784
9. Probabilistic forecasting of wind power ramp events using autoregressive logit models J. Taylor https://doi.org/10.1016/j.ejor.2016.10.041
10. A graph attention network with spatio-temporal wind propagation graph for wind power ramp events prediction X. Peng et al. https://doi.org/10.1016/j.renene.2024.121280
11. Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data C. Gallego‐Castillo et al. https://doi.org/10.1049/iet-rpg.2014.0457
12. On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts L. Valldecabres et al. https://doi.org/10.3390/rs10111701
13. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing M. Dorado-Moreno et al. https://doi.org/10.1007/s11063-018-9922-5
14. Detecting and characterising ramp events in wind power time series C. Gallego et al. https://doi.org/10.1088/1742-6596/555/1/012040
15. Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification J. Li et al. https://doi.org/10.1109/ACCESS.2020.3026864
16. Wind power ramp event detection with a hybrid neuro-evolutionary approach L. Cornejo-Bueno et al. https://doi.org/10.1007/s00521-018-3707-7
17. Minute‐scale detection and probabilistic prediction of offshore wind turbine power ramps using dual‐Doppler radar L. Valldecabres et al. https://doi.org/10.1002/we.2553
18. Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method M. Cui et al. https://doi.org/10.1109/TSTE.2014.2386870
19. Characterization of wind resource in China from a new perspective G. Ren et al. https://doi.org/10.1016/j.energy.2018.11.032