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Abstract

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.

Notes

Acknowledgments

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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Authors and Affiliations

  • Jose Manuel Lopez-Guede
    • 1
    • 5
    Email author
  • Jose Antonio Ramos-Hernanz
    • 2
  • Manuel Graña
    • 3
    • 5
  • Valeriu Ionescu
    • 4
  1. 1.Faculty of Engineering of Vitoria, Department of Systems Engineering and Automatic ControlBasque Country University (UPV/EHU)VitoriaSpain
  2. 2.Faculty of Engineering of Vitoria, Department of Electrical EngineeringBasque Country University (UPV/EHU)VitoriaSpain
  3. 3.Faculty of Informatics, Department of Computer Science and Artificial IntelligenceBasque Country University (UPV/EHU)San SebastianSpain
  4. 4.Faculty of Electronics, Communications and Computers, Department of Electronics, Computers and Electrical EngineeringUniversity of PitestiPitestiRomania
  5. 5.Computational Intelligence GroupBasque Country University (UPV/EHU)VitoriaSpain

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