Research on Prediction Model of Natural Gas Consumption Based on Grey Modeling Optimized by Genetic Algorithm

被引:11
作者
Xie, Yan [1 ]
Li, Mu [2 ]
机构
[1] Wuhan Polytech Univ, Elect & Informat Engn Dept, Wuhan, Peoples R China
[2] State Grid Elect Power Res Inst, Res Dept, Wuhan, Peoples R China
来源
2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS | 2009年
关键词
natural gas consumption; prediction; grey modeling; genetic algorithm; optimization;
D O I
10.1109/CASE.2009.101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Natural gas consumption is an important index to reflect living and spending levels of residents. Carries on the prediction to it, to ensure network capacity, carry out the optimization of network scheduling, equipment maintenance and so on, is of great significance. In this paper it introduces grey modelling method optimized by genetic algorithm. The grey prediction model of natural gas consumption is given. An example is given to verify the model and contrast the actual consumption. The result indicates that the method predicting natural gas consumption is simple and accurate, that the model has good adaptability and accuracy, and that the method is important to optimize the operation and united dispatch management of the transmission and distribution pipeline network.
引用
收藏
页码:335 / +
页数:2
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