Development of Decision Support System for Data Analysis of Electric Power Systems

被引:0
作者
Dobaev, A. Z. [1 ]
Maslakov, M. P. [1 ]
Dedegkaeva, A. A. [1 ]
机构
[1] North Caucasian Inst Min & Met, Vladikavkaz, Russia
来源
2016 2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM) | 2016年
关键词
power engineering; AMR; Automated information and measuring system of commercial energy metering; data mining; decision support system; expert system;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The work identifies the problem of comparing the analysis results of automated power metering system data produced by using a variety of mathematical, statistical and intelligent methods. Today, operators of such systems analyzing the charts of energy consumption independently decide on inspection of electrical power facilities. With the proliferation of such systems in the household sector, this approach is becoming ineffective. The solution to this problem is in implementation of decision support systems in energy retail companies. The authors have developed the structure of decision support system that enables analyzing the data and comparing the analysis results obtained with different methods, as well as generating recommendations for an operator of power metering systems. The paper describes the subsystems, blocks and modules of the system, their purpose, function and operation algorithms, as well as the relationships and ways of interaction of different system modules. Based on the proposed structure, the software specification can be compiled.
引用
收藏
页数:4
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