The overall objective of the project is to make investments in an Advanced Analytics system and in a homogeneous area of consumers in Caracal, county. Olt, in order to develop smart grids and reduce the average electricity consumption at the final consumer. The achievement of the result indicators corresponding to the overall objective of the project will contribute to the achievement of Specific Objective 6.3 — reduction of average electricity consumption at the level of dwellings. The implementation of the project aims to reduce the average annual electricity consumption per final consumer from 1.920 MWh/year in 2024 to 1.790 MWh/year in 2028 (the last year of the durability period). It is also aimed at a contribution of the project to the LIOP consumption reduction target by 0.1 %, assuming the maintenance of the target value of the LIOP indicator for the last year of the durability period. The Advanced Analytics system proposed by the project determines a more efficient forecast of the load (ordered energy), consumption and losses through own technological consumption (CPT). As a result of the improvement of forecasts, the energy variations and the differences between consumption and energy delivered are reduced to zero, thus achieving a maintenance of the delivered voltage within the limits allowed for nominal voltage, i.e. with normal accidental variations of consumed current. This leads, on the one hand, to the reduction of CPT and, on the other hand, to the reduction of consumption recorded by the final consumer. It is demonstrated that the reduction of the voltage delivered below the nominal limits (decreases resulting from the increase in energy demand), which cannot be immediately compensated, leads to increased consumption currents and thus higher technical losses, as well as higher consumptions recorded in the final consumer. Thus, the Advanced Analytics system leads to the reduction of energy delivered on two paths: by reducing losses and reducing consumption to final consumers, even when there is higher than normal demand, in certain periods of time, due to certain phenomena (e.g. heat wave, cold wave, holidays, etc.). Through improved planning of energy orders, the distribution operator copes with incidental demands and maintains voltage quality within nominal limits. At the same time, the system greatly reduces commercial CPT, as a result of increasing the efficiency of identifying fraud attempts and increasing the ability to react quickly to them. Reducing the energy delivered, on the same or even higher demand, generates benefits for society, i.e. reducing the local carbon dioxide footprint. In addition, the Advanced Analytics system multiplies the benefits generated by the MDMS (under implementation, SMIS 114790) and ADMS (for which financing was requested from LIOP 2014-2020). The investments proposed by the project are made in