Immediate Impact
52 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 Xiaoming Zha being referenced
Prediction of wind power ramp events based on residual correction
2019
A combined multivariate model for wind power prediction
2017
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Xiaoming Zha | 1892 | 1168 | 385 | 145 | 2.0k | |
| Zaijun Wu | 1726 | 1260 | 311 | 129 | 2.0k | |
| Nengling Tai | 2296 | 1713 | 231 | 167 | 2.5k | |
| José Luís Domínguez‐García | 1867 | 1390 | 247 | 108 | 2.2k | |
| Ali Mohammad Ranjbar | 2224 | 1253 | 297 | 78 | 2.4k | |
| Yang Fu | 1822 | 1409 | 255 | 112 | 2.2k | |
| S. Chowdhury | 1611 | 1383 | 351 | 75 | 2.0k | |
| Shijie Cheng | 2409 | 1589 | 270 | 93 | 2.7k | |
| Abbas Rabiee | 2547 | 1108 | 227 | 77 | 2.8k | |
| Massimo La Scala | 1602 | 943 | 210 | 109 | 2.0k | |
| Sukumar Kamalasadan | 1442 | 1100 | 214 | 112 | 1.6k |
All Works
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