Modeling of the electric perturbations in urban lighting networks by Machine Learning techniques
Abstract: The project dealt with the elaboration of a mathematical algorithm for prediction of the perturbation generated in the electric currents in urban lighting networks by regulation devices. These regulators are used to diminish the light intensity at late night hours. However, the theoretical savings in electric energy are limited by the electric perturbations produced …