Title :
Load profile analyses using R language
Author :
Keka, Ilir ; Hamiti, M.
Author_Institution :
Contemporary Sci. Technol., South East Eur. Univ. (SEEU), Tetovo, Macedonia
Abstract :
With global energy market liberalization, the demand for electricity is essential information for electrical companies. The need for electricity is expressed with the demand for electric power in function of time. The purpose of this paper is to find a mathematical model for the relation between electric Power and Time, using linear regression through the programming language R. In order to find this model we used electric Power data from the Load Profile of an electrical substation (110/35/10 kV). The aggregations of data are done through R for acquiring and analyzing daily, weekly and monthly loads as well as calculation of statistical parameters.
Keywords :
power engineering computing; power markets; regression analysis; substations; R programming language; electric power data; electrical companies; electrical substation; global energy market liberalization; linear regression; load profile analyses; statistical parameters; Companies; Data mining; Data models; Electricity; Mathematical model; Substations; Data Mining; Electric Power; Load Profile; R; Regression; Time;
Conference_Titel :
Information Technology Interfaces (ITI), Proceedings of the ITI 2013 35th International Conference on
Conference_Location :
Cavtat
Print_ISBN :
978-953-7138-30-1
DOI :
10.2498/iti.2013.0511
