ANN Based Model of PV Modules
In this paper authors address the practical problem of designing an empirical model for a commercial photovoltaic (PV) module (Mitsubishi PV-TD1185MF5) placed at the Faculty of Engineering of Vitoria (Basque Country University, Spain) based on artificial neural networks (ANN). This model obtains Ipv from Vpv, and the paper explains how the empirical data have been gathered and discusses the obtained results. The model reached an average accuracy of 0,15 A and a medium correlation value of R = 0,995.
The research was supported by the Computational Intelligence Group (Basque Country University, UPV/EHU), which is funded by the Basque Government with grant IT874-13.
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