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I-V Modeling Based on Artificial Neural Network in Anti-Reflective Coated Solar Cells  

Hong, DaIn (Department of System Semiconductor Engineering, Sangmyung University)
Lee, Jonghwan (Department of System Semiconductor Engineering, Sangmyung University)
Publication Information
Journal of the Semiconductor & Display Technology / v.21, no.3, 2022 , pp. 130-134 More about this Journal
Abstract
An anti-reflective coating is used to improve the performance of the solar cell. The anti-reflective coating changes the value of the short-circuit current about the thickness. However, the current-voltage characteristics about the anti-reflective coating are difficult to calculate without simulation tool. In this paper, a modeling technique to determine the short-circuit current value and the current-voltage characteristics in accordance with the thickness is proposed. In addition, artificial neural network is used to predict the short-circuit current with the dependence of temperature and thickness. Simulation results incorporating the artificial neural network model are obtained using MATLAB/Simulink and show the current-voltage characteristic according to the thickness of the anti-reflective coating.
Keywords
Anti-Reflective Coating; Photovoltaic System; Artificial Neural Network; PC1D;
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