A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method
In this paper, a novel short-term load forecasting method amalgamated with quantile regression random forest is proposed. Comprised with point forecasting, it is capable of quantifying the uncertainty of power load. Firstly, a bespoke 2D data preprocessing taking advantage of empirical mode decompos...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2022-01-01
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| Serie: | Energies |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1996-1073/15/2/663 |
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