First, Carga Base imports the measurements of a specific substation or energy feeder, and then performs the statistical treatment of the energy measurement data. After the corrections, filters are applied, such as: choosing which years, months and days of the week the user wants to consider in the analysis and which magnitude unit the user wants to evaluate. The next step is clustering the data, that is, the platform performs an analysis of proximity between measurements, providing important inputs for studies of seasonality and demand behavior of a given feeder. At the end, the demand curves are exported to SINAPgrid or to the customer’s preferred planning software, so that demand adjustments can be made.