Immediate Impact

17 standout
Sub-graph 1 of 7

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
3 intermediate papers

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
and 1 more

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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Rankless by CCL
2026