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Cited article:

Short-Term Wind Power Prediction Method Based on Combination of Meteorological Features and CatBoost

Xingyu MOU, Hui CHEN, Xinjing ZHANG, Xin XU, Qingbo YU, Yunfeng LI

Wuhan Univ. J. Nat. Sci., 28 2 (2023) 169-176

Published online: 2023-05-23

DOI: https://doi.org/10.1051/wujns/2023282169

This article has been cited by the following article(s):

EDHD-FG-XGBoost: Entropy-driven high-dimensional feature gain XGBoost model for short-term wind power prediction and application

Xing Liu, Xingyu Mou, Ying Zhang, Hui Chen, Xin Wang, Xihao Sun, Chengcheng Wang, Ruixiang Shong and Yunfeng Li
AIP Advances 15 (6) (2025)
https://doi.org/10.1063/5.0268894

Short-Term Energy Generation Forecasts at a Wind Farm—A Multi-Variant Comparison of the Effectiveness and Performance of Various Gradient-Boosted Decision Tree Models

Marcin Kopyt, Paweł Piotrowski and Dariusz Baczyński
Energies 17 (23) 6194 (2024)
https://doi.org/10.3390/en17236194