A Novel Non-intrusive Load Monitoring Method Based on Quantum Particle Swarm Optimization Algorithm

Non-intrusive load monitoring (NILM) can provide rich power consumption data for home users and power supply companies, which is helpful to use the electricity in an efficient way. This paper proposes a novel NILM method based on quantum particle swarm optimization (QPSO) algorithm. First, the parameters which can represent the load characteristics of household appliances are presented. Then, the detailed NILM method based on QPSO algorithm is described. At last, experiments are carried out on a house with 8 kinds of appliances. Results show that the proposed NILM method is effective, and QPSO algorithm performs better than that of basic PSO algorithm.