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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |