DocumentCode :
3105973
Title :
Outliers´ detection and filling algorithms for smart metering centers
Author :
Nascimento, Ricardo Mion do ; Oening, Ana Paula ; Marcilio, Débora Cíntia ; Aoki, Alexandre Rasi ; de Paula Rocha, E. ; Schiochet, Jefferson Marcelo
Author_Institution :
Inst. of Technol. for Dev.-LACTEC, Curitiba, Brazil
fYear :
2012
fDate :
7-10 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper summarizes diverse outliers´ detection and filling algorithms applied to metering centers of smart grids. The paper first shows typical problems in data measuring, especially considering smart metering infrastructure. The objective is to discuss and test detection and filling algorithms in several load time series of a real distribution utility. The impact of these algorithms is evaluated under a data mining approach, and results demonstrate the benefits that can be obtained in other applications like, load forecasting.
Keywords :
data mining; power engineering computing; power meters; power system measurement; smart power grids; data mining approach; distribution utility; load forecasting; load time series; outlier detection-filling algorithms; smart grids; smart metering centers; smart metering infrastructure; test detection algorithms; Filling; Load flow; Null value; Pollution measurement; Power measurement; Smart grids; Data Mining; Outlier; Smart Grid; Smart Metering Centers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location :
Orlando, FL
ISSN :
2160-8555
Print_ISBN :
978-1-4673-1934-8
Electronic_ISBN :
2160-8555
Type :
conf
DOI :
10.1109/TDC.2012.6281659
Filename :
6281659
Link To Document :
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