Wind power data cleaning using RANSAC-based polynomial and linear regression with adaptive threshold
Abstract As the global demand for clean energy continues to rise, wind power has become one of the most important renewable energy sources. However, wind power data often contains a high proportion of dense anomalies, which not only significantly affect the accuracy of wind power forecasting models...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-02-01
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| Col·lecció: | Scientific Reports |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1038/s41598-025-89177-9 |
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