Analysis using descriptive statistics on the data used for the ITL networks and on the data used in the Topology problem (Power system)

The training of neural networks must consider three datasets: train, test and validation. For each experiment, the three datasets must belong to the same population. The assessment of populations’ similarity for these three datasets is the main goal of this report. In this work, the Smirnov and Cramér-von Mises statistical tests were employed to three case studies. The analysis here presented is conducted on a neuron basis, meaning that the train, test and validation datasets are analyzed considering each neuron separately.