Title :
Cepstrum smoothing-based feature extraction method for electric loads disaggregation
Author :
Seongbae Kong ; Youngwook Kim ; Sung-Kwan Joo ; Jin Hak Kim
Author_Institution :
Korea Univ., Seoul, South Korea
Abstract :
This paper presents Cepstrum smoothing-based feature extraction method to reduce the variation of the characteristic signals of home appliance for Nonintrusive Load Monitoring (NILM). In this paper, a data acquisition system is also developed to obtain only characteristic signals of appliances and to filter the noise inputted from the power supply. Testing results are provided to demonstrate the effectiveness of the proposed method.
Keywords :
data acquisition; domestic appliances; feature extraction; power supply quality; smoothing methods; NILM; cepstrum smoothing; characteristic signals; data acquisition; electric loads disaggregation; feature extraction; home appliance; nonintrusive load monitoring; power supply; Cepstrum; Discrete Fourier transforms; Feature extraction; Home appliances; Monitoring; Noise; Smoothing methods;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6776009
