In this paper, we discuss the prediction of future solar cell photo-current generated by the machine learning algorithm. For the selection of prediction methods, we compared and explored different prediction methods. Precision, MSE and MAE were used as models due to its adaptable and probabilistic methodology on model selection. This study uses machine learning algorithms as a research method that develops models for predicting solar cell photo-current. We create an electric current prediction model. In view of the models of machine learning algorithms for example, linear regression, Lasso regression, K Nearest Neighbors, decision tree and random forest, watch their order precision execution. In this point, we recommend a solar cell photocurrent prediction model for better information based on resistance assessment. These reviews show that the linear regression algorithm, given the precision, reliably outperforms alternative models in performing the solar cell photo-current prediction Iph

This work is based on the development of a theoretical model describing the drift and diffusion transport of photogenerated charge carriers and the impact of space charge on this transport in relation to the different physical phenomena characterizing the photovoltaic conversion in an inorganic silicon-based cell. In a second step, we used a numerical solution of the transport differential equations based on the Runge-Kutta algorithm in the framework of the finite difference method, This led us to an electrical model of the photovoltaic cell and of the photo-generated currents by RLC circuit equipped with a diode modeling the direction of electron and hole transport and allowed us to study the relations between the optical and electrical properties of the cell, as well as the influence of the different concentrations of impurities used for the n-type and p-type doping of the silicon on the properties of absorption of the light photons, the spectral response as well as the conductivity, the open-circuit potential and the short-circuit current.