Data on Support Vector Machines (SVM) model to forecast photovoltaic power

The data concern the photovoltaic (PV) power, forecasted by a hybrid model that considers weather variations and applies a technique to reduce the input data size, as presented in the paper entitled “Photovoltaic forecast based on hybrid pca-lssvm using dimensionality reducted data” (M. Malvoni, M.G...

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Detalles Bibliográficos
Autores principales: Malvoni, M., De Giorgi, M.G., Congedo, P.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008053/
https://www.ncbi.nlm.nih.gov/pubmed/27622206
http://dx.doi.org/10.1016/j.dib.2016.08.024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008053/
https://www.ncbi.nlm.nih.gov/pubmed/27622206
http://dx.doi.org/10.1016/j.dib.2016.08.024

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