Artificial Neural Network Modeling of a Photovoltaic Module

  • Jose Manuel López-Guede
  • Jose Antonio Ramos-Hernanz
  • Manuel Graña
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)


This paper deals with the problem of designing an accurate and computationally fast model of a particular real photovoltaic module. There are a number of well known theoretical models, but they need the fine tuning of several parameters, whose values are often is difficult or impossible to estimate. The difficulty of these calibration processes has driven the research into approximation models that can be trained from data observed during the working operation of the plant, i.e. Artificial Neural Network (ANN) models. In this paper we derive an accurate ANN model of a real ATERSA A55 photovoltaic module, showing all the steps and electrical devices needed to reach that objective.


Photovoltaic module Photovoltaic cell Neural Network Model Atersa A55 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jose Manuel López-Guede
    • 1
  • Jose Antonio Ramos-Hernanz
    • 1
  • Manuel Graña
    • 1
  1. 1.Grupo de Inteligencia ComputacionalUniversidad del Pais Vasco (UPV/EHU)BilbaoSpain

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