18 citations as recorded by crossref.

1. Robust estimation of wind power ramp events with reservoir computing M. Dorado-Moreno et al.
2. A novel approach for power ramps classification in wind generation M. Eltohamy et al.
3. Smoothing ramp events in wind farm based on dynamic programming in energy internet J. Li et al.
4. 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
5. A review on the recent history of wind power ramp forecasting C. Gallego-Castillo et al.
6. State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis B. Yang et al.
7. Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data L. Cornejo-Bueno et al.
8. Probabilistic forecasting of wind power ramp events using autoregressive logit models J. Taylor
9. A graph attention network with spatio-temporal wind propagation graph for wind power ramp events prediction X. Peng et al.
10. Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data C. Gallego‐Castillo et al.
11. On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts L. Valldecabres et al.
12. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing M. Dorado-Moreno et al.
13. Detecting and characterising ramp events in wind power time series C. Gallego et al.
14. Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification J. Li et al.
15. Wind power ramp event detection with a hybrid neuro-evolutionary approach L. Cornejo-Bueno et al.
16. Minute‐scale detection and probabilistic prediction of offshore wind turbine power ramps using dual‐Doppler radar L. Valldecabres et al.
17. Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method M. Cui et al.
18. Characterization of wind resource in China from a new perspective G. Ren et al.