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

页码：3 / 14

页数：12

共 50 条

[21] Evolution of knowledge mining from data in power systems: The Big Data Analytics breakthrough*
Dominguez, Xavier
Prado, Alvaro
Arboleya, Pablo
Terzija, Vladimir
ELECTRIC POWER SYSTEMS RESEARCH, 2023, 218
[22] Big data visualisation in regional comprehensive economic partnership: a systematic review
Lijun Li
Humanities and Social Sciences Communications, 10
[23] Design and implementation of big data analysis and visualisation platform for the smart city
Sun K.
Liu N.
Sun X.
Zhang Y.
International Journal of Information Technology and Management, 2023, 22 (3-4) : 373 - 385
[24] Big data visualisation in regional comprehensive economic partnership: a systematic review
Li, Lijun
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2023, 10 (01):
[25] Climate Changes Prediction System Based on Weather Big Data Visualisation
Buszta, Antoni
Mazurkiewicz, Jacek
THEORY AND ENGINEERING OF COMPLEX SYSTEMS AND DEPENDABILITY, 2015, 365 : 75 - 86
[26] Big Data: Knowledge is Power
Wildner, Manfred
GESUNDHEITSWESEN, 2015, 77 (8-9) : 531 - 532
[27] Big Data in Power Generation
Moleda, Marek
Mrozek, Dariusz
BEYOND DATABASES, ARCHITECTURES AND STRUCTURES (BDAS): PAVING THE ROAD TO SMART DATA PROCESSING AND ANALYSIS, 2019, 1018 : 15 - 29
[28] Big data: The power of petabytes
Michael Eisenstein
Nature, 2015, 527 : S2 - S4
[29] Visualisation of voltage stability in large electric power systems
Rehtanz, C
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1999, 146 (06) : 573 - 576
[30] Using Big Data to Improve Safety Performance: An Application of Process Mining to Enhance Data Visualisation
Pika, Anastasiia
ter Hofstede, Arthur H. M.
Perrons, Robert K.
Grossmann, Georg
Stumptner, Markus
Cooley, Jim
BIG DATA RESEARCH, 2021, 25

← 1 2 3 4 5 →