Immediate Impact
17 standout
Citing Papers
Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors
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 Quốc Dũng Phan being referenced
Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)
2023
A Hybrid Wind Power Forecasting Model with XGBoost, Data Preprocessing Considering Different NWPs
2021
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Quốc Dũng Phan | 351 | 151 | 50 | 58 | 27 | 380 | |
| Yong Shi | 348 | 141 | 41 | 55 | 33 | 423 | |
| Kwa-Sur Tam | 294 | 186 | 56 | 52 | 29 | 392 | |
| Aaron M. Cramer | 281 | 179 | 26 | 62 | 32 | 375 | |
| Denisson Q. Oliveira | 291 | 170 | 20 | 73 | 23 | 359 | |
| M. Rizwan | 282 | 120 | 45 | 107 | 24 | 375 | |
| Jingxuan Zhang | 277 | 111 | 85 | 22 | 35 | 386 | |
| Jussara Farias Fardin | 344 | 165 | 49 | 50 | 42 | 435 | |
| R.W. Dunn | 323 | 231 | 53 | 29 | 33 | 448 | |
| Lele Ma | 188 | 245 | 27 | 34 | 19 | 359 | |
| Syed Abdul Rahman Kashif | 273 | 120 | 49 | 29 | 48 | 365 |
All Works
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