Non-intrusive appliance load monitoring with feature extraction from higher order moments

Abstract

A pattern recognition (PR) system is addressed for nonintrusive appliance load monitoring. For the effective recognition of two home appliances (specifically, an electric iron and a cook top), we consider a novel feature extraction method employing higher order moments of power signals from the appliances. Through simulation results, we have confirmed that the PR system with the features from the proposed higher order moment technique and kernel discriminant analysis can effectively separate the two appliances.