Alkhafaji, M.A.Uzun, Y.2024-09-292024-09-292020978-172817116-6https://doi.org/10.1109/ICECCE49384.2020.9179460https://hdl.handle.net/20.500.14619/94052nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 -- 12 June 2020 through 13 June 2020 -- Istanbul -- 162684The photovoltaic cells are deemed one of the most important modern sources of renewable energy due to its direct dependence on solar energy, its low maintenance, and environmental protection. These characteristics led many specialists to study and develop this type of renewable energy. This research paper includes simulations for the design of single-diodes solar cells under the influence of different temperatures and saturation conditions to demonstrate the efficacy of the solar cell. It is also known that the solar cell must be linked to a power controller and here it will be used as an artificial neural network (ANN) technology which is the nonlinear autoregressive moving average (NARMA) by using MATLAB program to control the output power of the PV cell. Hence, the simulation results will show the comparison with and without using the NARMA-L2 controller as a maximum power point tracking (MPPT). © 2020 IEEE.eninfo:eu-repo/semantics/closedAccessartificial neural networks technique ANNMatlab simulationmaximum power point tracking MPPTNARMA-L2 Controlphotovoltaic panel PVConference Object10.1109/ICECCE49384.2020.91794602-s2.0-85091919085N/A