A novel Bayesian ensembling model for wind power forecasting

Precise and robust wind power prediction can effectively alleviate the problem caused by the randomness and volatility of wind power. Ensemble learning can successfully improve forecasting precision and robustness, and quantify the uncertainty of the prediction. This paper presents a new ensemble pr...

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Detalles Bibliográficos
Autores principales: Tang, Jingwei, Hu, Jianming, Heng, Jiani, Liu, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699981/
https://www.ncbi.nlm.nih.gov/pubmed/36444257
http://dx.doi.org/10.1016/j.heliyon.2022.e11599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699981/
https://www.ncbi.nlm.nih.gov/pubmed/36444257
http://dx.doi.org/10.1016/j.heliyon.2022.e11599

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