DocumentCode :
732178
Title :
Statistical treatment for trend detection and analyzing of electrical load using programming language R
Author :
Keka, Ilir ; Cico, Betim
Author_Institution :
Fac. of Contemporary Sci. & Technol. (CST), South East Eur. Univ. (SEEU), Tetovo, Macedonia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
216
Lastpage :
219
Abstract :
The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electrical demand of the customers. The aim of this paper is to analyze and to detect the trend of electrical load consume from the customers in an area. This is achieved using the statistical approach on the data collected from the meter reading devices. In this paper is given an overview of the features of electricity and also are calculated some statistical parameters. The statistical treatment is done in the electrical data based on R language.
Keywords :
customer services; demand side management; high level languages; power system analysis computing; statistical analysis; PowerSystem; electrical demand; electrical load; electricity companies; electricity stream; programming language R; statistical treatment; trend detection; Embedded computing; Gaussian distribution; Graphics; Histograms; Market research; Power systems; Standards; Electrical Load; R Language; Statistic; Trend Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181906
Filename :
7181906
Link To Document :
بازگشت