Electrical Characterization of a Photovoltaic Module Through Artificial Neural Network: A Review
International Journal of Electrical Components and Energy Conversion
Volume 3, Issue 1, February 2017, Pages: 14-20
Received: Feb. 11, 2017; Accepted: Mar. 9, 2017; Published: Apr. 18, 2017
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Rashmi Galphade, Department of Physics, BNN (Arts, Science and Commerce) College, Dhamankar Naka, Bhiwandi, India
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The aim of this paper is to present a review of I-V characteristics of photovoltaic module using artificial neural network (ANN). The ANN approach has found to be the efficient tool over complex non-linear mathematical equations and complicated models for estimation of output power and energy of PV modules.
Photovoltaic Module, ANN, Modeling, Simulation, Electrical Characteristics
To cite this article
Rashmi Galphade, Electrical Characterization of a Photovoltaic Module Through Artificial Neural Network: A Review, International Journal of Electrical Components and Energy Conversion. Vol. 3, No. 1, 2017, pp. 14-20. doi: 10.11648/j.ijecec.20170301.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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