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...

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Detalles Bibliográficos
Autores principales: Duan, Jiandong, Tian, Xuan, Ma, Wentao, Qiu, Xinyu, Wang, Peng, An, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515222/
https://www.ncbi.nlm.nih.gov/pubmed/33267421
http://dx.doi.org/10.3390/e21070707

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