DocumentCode
116245
Title
Research on forecasting method of natural gas demand based on GM (1, 1) model and Markov chain
Author
Xi Wan ; Qinqin Zhang ; Guoqing Dai
Author_Institution
Sch. of Bus. Adm., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear
2014
fDate
18-20 Aug. 2014
Firstpage
436
Lastpage
441
Abstract
This article uses Grey Markov forecasting method in Chongqing during the “twelfth five-year” natural gas demand forecasting. Put forward the improved method based on GM (1, 1) model, the fitting precision and prediction precision are greatly improved, good results were obtained. Predicted results show that with the rapid development of Chongqing economy and requirement of low-carbon economy development, the “twelfth five-year” period of Chongqing natural gas demand will into rapid growth trend, by the year 2015 will reach more than 95.19×108 m3. Analysis of supply and demand situation in Chongqing, and put forward to solve the problem of natural gas supply and demand gap.
Keywords
Markov processes; economic forecasting; environmental economics; grey systems; natural gas technology; supply and demand; Chongqing economy; Chongqing natural gas demand; GM (1, 1) model; Grey Markov forecasting method; Markov chain; fitting precision; low-carbon economy development; natural gas demand forecasting; natural gas supply and demand gap; prediction precision; Carbon dioxide; Cities and towns; Coal; Energy consumption; Markov processes; Natural gas; Predictive models; combination forecast; countermeasures; low-carbon economy; the twelfth five-year plan of natural gas demand in Chongqing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location
London
Print_ISBN
978-1-4799-6080-4
Type
conf
DOI
10.1109/ICCI-CC.2014.6921495
Filename
6921495
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