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Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion
The electricity consumption forecasting (ECF) technology plays a crucial role in the electricity market. The support vector regression (SVR) is a nonlinear prediction model that can be used for ECF. The electricity consumption (EC) data are usually nonlinear and non-Gaussian and present outliers. Th...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515222/ https://www.ncbi.nlm.nih.gov/pubmed/33267421 http://dx.doi.org/10.3390/e21070707 |