Long-term power forecasting using FRNN and PCA models for calculating output parameters in solar photovoltaic generation

This paper evaluated a 1.4 kW grid-connected photovoltaic system (GCPV) using two neural network models based on experimental data for one year. The novelty of this study is to propose and compare full recurrent neural network (FRNN), and principal component analysis (PCA) models based on entire yea...

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Detalles Bibliográficos
Autores principales: Kazem, Hussein A., Yousif, Jabar H., Chaichan, Miqdam T., Al-Waeli, Ali H.A., Sopian, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800028/
https://www.ncbi.nlm.nih.gov/pubmed/35128098
http://dx.doi.org/10.1016/j.heliyon.2022.e08803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800028/
https://www.ncbi.nlm.nih.gov/pubmed/35128098
http://dx.doi.org/10.1016/j.heliyon.2022.e08803

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