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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=158203
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