Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction

Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized with an artificial bee colony (ABC) algorithm. Fir...

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Detalles Bibliográficos
Autores principales: Gao, Xiang-ming, Yang, Shi-feng, Pan, San-bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585556/
https://www.ncbi.nlm.nih.gov/pubmed/28912803
http://dx.doi.org/10.1155/2017/7273017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585556/
https://www.ncbi.nlm.nih.gov/pubmed/28912803
http://dx.doi.org/10.1155/2017/7273017

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