Modelling of wind power forecasting errors based on kernel recursive least-squares method
Forecasting error amending is a universal solution to improve short-term wind power forecasting accuracy no matter what specific forecasting algorithms are applied. The error correction model should be presented considering not only the nonlinear and non-stationary characteristics of forecasting err...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2017-01-01
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| coleção: | Journal of Modern Power Systems and Clean Energy |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/8946856/ |
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