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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |