Ultra-short-term wind power prediction method combining financial technology feature engineering and XGBoost algorithm

The input features of existing wind power time-series data prediction models are difficult to indicate the potential relationships between data, and the prediction methods are based on deep learning, which makes the convergence of the models slow and difficult to be applied to the actual production...

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Detalles Bibliográficos
Autores principales: Guan, Shijie, Wang, Yongsheng, Liu, Limin, Gao, Jing, Xu, Zhiwei, Kan, Sijia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361039/
https://www.ncbi.nlm.nih.gov/pubmed/37484352
http://dx.doi.org/10.1016/j.heliyon.2023.e16938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361039/
https://www.ncbi.nlm.nih.gov/pubmed/37484352
http://dx.doi.org/10.1016/j.heliyon.2023.e16938

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