Analysis of the Technical Feasibility of Using Artificial Intelligence for Smoothing Active Power in a Photovoltaic System Connected to the Power System.

HIGHLIGHTS ANN with 10 neurons shows better performance when compared to 20 and 100. ANN with more than two hidden layers does not demonstrate better accuracy. The self-loading of the ANN exceeds the limits, requiring external mechanisms. The lack of continuity in the data influences the behavior of the ANN training.