Artificial Neural Network Based Model of Photovoltaic Cell

Messaouda Azzouzi, Lakhdar Bessissa, Mona Fouad Moussa, Dumitru Popescu, Catalin Petrescu


This work concerns the modeling of a photovoltaic system and the prediction of the sensitivity of electrical parameters (current, power) of the six types of photovoltaic cells based on voltage applied between terminals using one of the best known artificial intelligence technique which is the Artificial Neural Networks. The results of the modeling and prediction have been well shown as a function of number of iterations and using different learning algorithms to obtain the best results. 


neural network; solar cell; renewable energy; prediction; modelling

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Copyright (c) 2017 Messaouda Azzouzi, Lakhdar BESSISSA, Mona Fouad MOUSSA, Dumitru POPESCU, Catalin PETRESCU

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Renewable Energy and Sustainable Development

E-ISSN: 2356-8569

P-ISSN: 2356-8518


Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)