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


Vol. 39,  No. 7, pp. 608-614, Jul.  2014


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  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.

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  Cite this article

[IEEE Style]

H. Min, T. An, S. Lee, S. R. Lee, I. Song, "Power Signal Recognition with High Order Moment Features for Non-Intrusive Load Monitoring," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 7, pp. 608-614, 2014. DOI: .

[ACM Style]

Hwang-Ki Min, Taehun An, Seungwon Lee, Seong Ro Lee, and Iickho Song. 2014. Power Signal Recognition with High Order Moment Features for Non-Intrusive Load Monitoring. The Journal of Korean Institute of Communications and Information Sciences, 39, 7, (2014), 608-614. DOI: .

[KICS Style]

Hwang-Ki Min, Taehun An, Seungwon Lee, Seong Ro Lee, Iickho Song, "Power Signal Recognition with High Order Moment Features for Non-Intrusive Load Monitoring," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 7, pp. 608-614, 7. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880