Ubicación Óptima de Medidores para la Detección de Robo de Energía

Abstract

This research project covers the challenge of detecting energy losses, for this purpose it seeks to optimally identify the location of smart meters, according to the socioeconomic stratum, the probability of theft and consumption, thus minimizing energy losses. For this purpose, four phases are suggested that must be fulfilled in their entirety for the realization of this project. These phases propose an approach that integrates energy loss detection techniques, optimization problems and data analysis. Based on the information obtained on the detection techniques, the best machine learning technique was selected, followed by the optimization function considering the probability of theft, socioeconomic stratum, consumption, meter capacity, cost of installing the meter and cost of not detecting the losses. The results obtained show that a smart meter should be installed where there is a higher probability of energy theft and where the cost of not detecting losses is higher. Finally, it can be said that this project provides the optimal location of smart meters, considering several factors that influence their cost.