DocumentCode
158203
Title
Compression of power system signals with wavelets
Author
Chun Sing Lai
Author_Institution
Energy & Power Group, Univ. of Oxford, Oxford, UK
fYear
2014
fDate
13-16 July 2014
Firstpage
109
Lastpage
115
Abstract
This paper reviews some technical issues in investigating real-time data analytics for future power grid systems. Wavelet transform will be used to demonstrate how current and voltage signals are compressed as a possible solution to data compression, and limitations of the technique will be highlighted.
Keywords
power grids; signal processing; smart meters; wavelet transforms; current signals; data compression; power grid systems; power system signal compression; real-time data analytics; smart meters; voltage signals; wavelet transform; Big data; Discrete wavelet transforms; Power grids; Signal to noise ratio; Wavelet analysis; Big Data; Data Compression; Smart Grid Analytics; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2158-5695
Print_ISBN
978-1-4799-4212-1
Type
conf
DOI
10.1109/ICWAPR.2014.6961300
Filename
6961300
Link To Document