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Modular Predictor for Day-Ahead Load Forecasting and Feature Selection for Different Hours
To improve the accuracy of the day-ahead load forecasting predictions of a single model, a novel modular parallel forecasting model with feature selection was proposed. First, load features were extracted from a historic load with a horizon from the previous 24 h to the previous 168 h considering th...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2018-07-01
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| Col·lecció: | Energies |
| Matèries: | |
| Accés en línia: | http://www.mdpi.com/1996-1073/11/7/1899 |
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