Appliances identification method of non-intrusive load monitoring based on load signature of V-I trajectory

NILM is an electrical energy monitoring system that can be used in smart home/building. The system is equipped with sensors to measure the voltage and electric current large installed in the electrical panel. NILM methods are designed to measure the total power consumption signals at the entry point of the main electrical panel of a building, and then disaggregate it into the power consumption of individual appliances. This paper expands and evaluates appliance load signatures based on hybrid method that uses the features extracted i.e. current (I), Harmonic (H), active and reactive power (P, Q), the geometry of the curve V-I. Precision and robustness of prediction in classification algorithms used to disaggregate residential overall energy use and predict constituent appliance profile.