Immediate Impact
20 standout
Citing Papers
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
2025 Standout
A short-term power prediction method based on numerical weather prediction correction and the fusion of adaptive spatiotemporal graph feature information for wind farm cluster
2025 Standout
Works of Andrés L. Suárez‐Cetrulo being referenced
Wind power forecasting using ensemble learning for day-ahead energy trading
2022
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Andrés L. Suárez‐Cetrulo | 73 | 111 | 22 | 71 | 11 | 227 | |
| Liangxi Qin | 40 | 118 | 10 | 28 | 7 | 206 | |
| Jinghua Tan | 70 | 132 | 36 | 84 | 20 | 253 | |
| Pin Ni | 87 | 65 | 11 | 24 | 14 | 191 | |
| Steven H. Kim | 67 | 116 | 5 | 49 | 10 | 214 | |
| Chiao-Ting Chen | 137 | 85 | 13 | 49 | 21 | 258 | |
| Xiongwen Pang | 53 | 204 | 34 | 68 | 5 | 287 | |
| Waldyn G. Martinez | 47 | 133 | 9 | 53 | 9 | 258 | |
| Tong‐Seng Quah | 68 | 101 | 9 | 38 | 12 | 190 | |
| Farzan Soleymani | 50 | 95 | 8 | 29 | 12 | 292 | |
| Heyuan Wang | 37 | 59 | 18 | 25 | 16 | 161 |
All Works
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