Non-Intrusive Load Identification Methods Based on LI-Norm and Hidden Markov Chain Model

This paper presents a non-intrusive load identification method to improve accuracy and efficiency of nonintrusive load monitoring by using Ll norm and the hidden Markov chain model. Steady-state harmonic current and steady-state power as characteristic parameters used to establish characteristic database, then get the steady state segment through the edge detection. Ll norm is used to identify the basic type of equipments, then combined with the frequency phase angle of the electrical equipment and harmonic distortion rate, load comprehensive identified by hidden Markov chain model. Simulation and experimental results show that the proposed method have good identification accuracy and efficiency