Abstract
In this paper authors model the electrical behavior of a commercial solar panel composed of solar cells connected in series through an Artificial Neural Network (ANN) with one hidden layer. The real solar panel that has been used as proof of concept is of the commercial model ATERSA A55, and it is placed at the Faculty of Engineering of Vitoria-Gasteiz (Basque Country University, Spain). The resulting model consists on one input (\(V_{PV}\)) and one output (\(I_{PV}\)), since the standard deviation of the temperature and irradiance magnitudes in the used dataset was residual.
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Acknowledgments
The research was supported by the Computational Intelligence Group of the Basque Country University (UPV/EHU) through Grant IT874-13 of Research Groups Call 2013–2017 (Basque Country Government).
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Lopez-Guede, J.M., Ramos-Hernanz, J.A., Estevez, J., Garmendia, A., Graña, M. (2017). Neuronal Electrical Behavior Modeling of Solar Panels. In: Martínez de Pisón, F., Urraca, R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2017. Lecture Notes in Computer Science(), vol 10334. Springer, Cham. https://doi.org/10.1007/978-3-319-59650-1_47
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