Algorithm for residential appliance identification based on continuous quadratic 0–1 programming

The decomposed information of power consumption of household appliances is meaningful for scheduling the appliances and the reduction in home energy use. This paper presents a novel nonintrusive load identification method based on continuous quadratic 0-1 programming. Extensive lab tests have demonstrated that the proposed technique can provide adequate load identification accuracy for residential energy monitoring and is suitable to be used in a nonintrusive load monitoring (NILM) systems in residential and commercial buildings.