Hybrid methodology for modeling short-term wind power generation using conditional kernel density estimation and singular spectrum analysis
A fundamental part of the probabilistic forecasting of wind energy process is to take into account wind speed forecasts. To achieve accurate probabilistic forecast of wind output, we developed a hybrid methodology using a nonparametric technique known as SSA (Singular Spectrum Analysis) and (CKDE) C...
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| Publicado no: | Dyna |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidad Nacional de Colombia
2017
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=49650911014 https://www.redalyc.org/journal/496/49650911014/ https://www.redalyc.org/journal/496/49650911014/html/ https://www.redalyc.org/journal/496/49650911014/49650911014.epub https://www.redalyc.org/journal/496/49650911014/movil |
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