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Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential
With wind power providing an increasing amount of electricity worldwide, the quantification of its spatio-temporal variations and the related uncertainty is crucial for energy planners and policy-makers. Here, we propose a methodological framework which (1) uses machine learning to reconstruct a spa...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463360/ https://www.ncbi.nlm.nih.gov/pubmed/36101650 http://dx.doi.org/10.1007/s00477-022-02219-w |