Complementary material: Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system
Published: 14 August 2020| Version 1 | DOI: 10.17632/mbt6845jjb.1
Contributors:
Julie Viloria-Porto, , Description
In this dataset you will find the training algorithms (LMS and RTRL) developed for an ADALINE neural network, used as an MPPT control mechanism in a photovoltaic system completely isolated from the electrical network. Additionally, the results obtained in computational tests (simulation data) and experimental tests carried out in the field are available.
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Institutions
Universidad del Magdalena
Categories
Computer Science, Artificial Intelligence, Off-Grid Power Supply Systems