Power Factor Prediction in Three Phase Electrical Power Systems Using Machine Learning

The power factor in electrical systems is of paramount importance because the influence on economic cost energy consumption as well quality requested by grid. Low affects both consumers and suppliers due to an increase current requirements for installation, bigger sizing industrial equipment, conductor wiring that can sustain higher currents, additional voltage regulators equipment. In this work, we present a technique predicting variations three phase systems, using machine learning algorithms. proposed model was developed tested medium installations found be fairly accurate thus representing reduced approach monitoring. modified predict variation factor, taking into account removable sources connected This new way analyzing behavior through prediction has potential facilitate decision-making customers, reduce maintenance costs, probability injecting disturbances network, above all affords reliable without need real-time monitoring, which represents reduction consumer.