Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system

This paper presents a detailed description of the data obtained as a result of the computational simulations and experimental tests of an MPPT controller based on an ADALINE artificial neural network with FIR architecture, trained with the RTRL and LMS algorithms that were used as mechanisms of cont...

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Detalles Bibliográficos
Autores principales: Viloria-Porto, Julie, Robles-Algarín, Carlos, Restrepo-Leal, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495059/
https://www.ncbi.nlm.nih.gov/pubmed/32984483
http://dx.doi.org/10.1016/j.dib.2020.106296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495059/
https://www.ncbi.nlm.nih.gov/pubmed/32984483
http://dx.doi.org/10.1016/j.dib.2020.106296

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