DocumentCode
2831318
Title
Research on Prediction Model of Natural Gas Consumption Based on Grey Modeling Optimized by Genetic Algorithm
Author
Xie, Yan ; Li, Mu
Author_Institution
Dept. of Electr. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
fYear
2009
fDate
11-12 July 2009
Firstpage
335
Lastpage
337
Abstract
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.
Keywords
flow control; genetic algorithms; grey systems; natural gas technology; pipelines; prediction theory; scheduling; distribution pipeline network; genetic algorithm; grey modeling; natural gas consumption; network capacity; network scheduling; optimization; prediction model; transmission pipeline network; united dispatch management; Accuracy; Control system synthesis; Differential equations; Genetic algorithms; Genetic engineering; Natural gas; Optimization methods; Power generation economics; Predictive models; Production; genetic algorithm; grey modeling; natural gas consumption; optimization; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-0-7695-3728-3
Type
conf
DOI
10.1109/CASE.2009.101
Filename
5194459
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