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
Link To Document :
بازگشت