Title :
Non-intrusive Appliance Load Monitoring with Feature Extraction from Higher Order Moments
Author :
Hwang-Ki Min ; Taehun An ; Seungwon Lee ; Iickho Song
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
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.
Keywords :
domestic appliances; feature extraction; object recognition; operating system kernels; pattern classification; PR system; feature extraction; higher order moments; home appliances recognition; kernel discriminant analysis; nonintrusive appliance load monitoring; pattern recognition system; Accuracy; Feature extraction; Home appliances; Iron; Kernel; Monitoring; Vectors;
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2013 IEEE 6th International Conference on
Conference_Location :
Koloa, HI
Print_ISBN :
978-1-4799-2701-2
DOI :
10.1109/SOCA.2013.16
