DocumentCode :
134805
Title :
Load profile disaggregation by Blind source separation: A wavelets-assisted independent component analysis approach
Author :
Yongli Zhu ; Songtao Lu
Author_Institution :
ECE Dept., Univ. of Tennessee, Knoxville, TN, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a Blind-source separation method, i.e. Independent Component Analysis (ICA) is used for disaggregating the substation load profile into different patterns, i.e. residential and commercial groups. The smart meter data from a down town substation has been used. Principle Component Analysis (PCA) is applied for data reduction. Wavelet analysis is used to extract the trend signal from the original load profile as inputs for the ICA routine. Final results verify the effectiveness of this load profile disaggregation approach.
Keywords :
blind source separation; data communication; independent component analysis; load forecasting; principal component analysis; smart meters; substations; ICA; PCA; blind source separation method; commercial group pattern; independent component analysis; load forecasting; principle component analysis; residential group pattern; signal extraction; smart meter data reduction; substation load profile disaggregation; wavelet analysis; Cities and towns; Independent component analysis; Market research; Principal component analysis; Substations; Wavelet analysis; Wavelet transforms; Blind-source separation; load modeling; load profile; smart meter; statistic learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6938947
Filename :
6938947
Link To Document :
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