Power Signal Recognition with High Order Moment Features for Non-Intrusive Load Monitoring

Abstract

A pattern recognition (PR) system is addressed for non-intrusive load monitoring. To effectively recognize two appliances (for example, an electric iron and a cook top), we propose a novel feature extraction method based on high order moments of power signals. Simulation results confirm that the PR system with the proposed high order moment features and kernel discriminant analysis can effectively separate two appliances.

Effects of the Reference Sample Size on the Performance of the Two-Sample Rank Detector

“…신호를 검파하기 위해 다양한 기법들이 사용되고 있다 [1] . 그 가운데에서 관측 표본의 순위통계량을 쓰 는 검파기는 비모수 특성을 가지면서도 성능이 비교 적 우수하여 널리 쓰인다 [2,3] .…”