TREATMENT AND VISUALISATION OF BIG DATA IN POWER SYSTEMS

被引：0
|
作者：
Keka, Ilir [1 ]
Cico, Betim [1 ]
机构：
[1] SEEU, Fac Contemporary Sci & Technol, Tetovo, Macedonia
来源：
INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY | 2016年 / 8卷 / 02期
关键词：
Big Data; Electric Power; Revolution R Enterprise; Time; Regression model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Because the energy is difficult to store in a long time then for the electric companies, especially for trading companies and for transmission operator, it is very important to know the network load. The aim of this paper is to find a model of the relationship between electricity load and time for some Substations using a sample of Big Data. This is achieved using Revolution R Enterprise language. Furthermore, Big Data were analyzed to find the distribution of data and to calculate the descriptive statistical parameters for these data. At the end of the paper is made evaluation of this mathematical model.
引用
收藏
页码：3 / 14
页数：12
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