In the new global and local scenario, the advent of intelligent distribution networks
or Smart Grids allows real-time collection of data on the operating status of the electricity grid.
Based on this availability of data, it is feasible and convenient to predict consumption in the short
term, from a few hours to a week. The hypothesis of the study is that the method used to present
time variables to a prediction system of electricity consumption affects the results.