In the context of decarbonization and fossil fuel independence, Chile has a great task ahead. The most relevant is to become carbon neutral by 2050 by replacing fossil fuels with clean energy sources, where, besides hydraulics, solar and wind power are the chosen ones. However, the commitment to rely on intermittent sources requires a variety of studies to support the roadmap and the success of this decarbonization plan. Therefore, this study aims to understand the behavior of the energy mix and its sources by analyzing the historical production data according to the geographical context. This way, as a starting point, it was possible to discover the main behaviors and patterns, such as the electric sources’ trends and seasonalities that explain the use of fossil fuels. To this end, data science tools were used for the exploration of big data, their respective analysis, and subsequent projections for planning the energy matrix’s decarbonization process for 2050.