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《Bulletin of Science and Technology》 2013-12
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Consumption Prediction of Natural Gas Based on Principal Component Analysis and Support Vector Machine

Jiang Min;Taizhou Teachers College;  
In order to improve the accuracy of the prediction of natural gas consumption,a model is presented to forecast natural gas consumption and support vector machine combined with a principal component analysis(PCA-SVM).The first principal component analysis was used to select factors that influence the consumption of natural gas,and then input to a nonlinear prediction ability of training support vector machine,genetic algorithm is used to optimize the parameters of SVM,the last natural gas consumption prediction model.The simulation results show that,PCA-SVM accelerate the learning speed prediction of natural gas,to improve the accuracy of the prediction of natural gas consumption.
【CateGory Index】: TP18;F426.22
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Xi-yong1,ZHANG jia-bin2,YUAN Zong-ming1 (1.Petroleum Institute of SWPI,Chengdu 610500,China;2.Oil Production Plant 3 Changqing Oilfield,Yinchuan 750006,China);Grey System Theory Method of City Gas Long-term Load Prediction[J];Pipeline Technique and Equipment;2004-06
2 HUANG Weihe;West-to-East Gas Transmission Project and Development of China Natural Gas Industry[J];;2003-09
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 MA Qing-yuan~1,GUO Ji-ping~2,LI Ning~3(1.Faculy of High Professional Education,Anshan University of Science and Technology,Anshan 114044,China;2.School of Civil and Transportation Engineering,Anshan University of Science and Technology,Anshan 114044,China;3.School of Chemical Engineering,Anshan University of Science and Technology,Anshan 114044,China);Methods of load forecast in city gas network[J];Journal of Anshan University of Science and Technology;2004-02
2 LU Shan, QIU Jian-hui, XU Fang-yuan (College of Material Science and Technology, Nanjing University of Aeronauticsand Astronautics,Nanjing 210016, China)Abstct:In the project of natural gas transportation from the western to eastern regions, it is an economic and practical method for natural gas transportion to modify existing civil gas pipelines with flexible composite joints. The paper describes a sort of high performance polyurethane-polyethylene glycol terephthalate(PET) fiber fabric-aluminium foil composite liner to be used as airtight joint structure of the gas pipeline. It introduces the gas pipeline modification technology developped by Chevalier-PRS(Asia)Holdings Ltd. of Hongkong and test on the air-tightness, air pressure resistance, bending and peel strength,accelerated aging of the gas pipeline airtight joint structure. The results show that the structure has excellent property and reliability and can be suitable for the natural gas transportation.;STUDY ON PROPERTIES OF CIVIL GAS PIPELINE THROUGH MODIFICATION WITH FLEXIBLE COMPOSITES[J];Fiber Reinforced Plastics/Composite;2005-05
3 YU Qian-xiu,ZHENG Yun-ping(Graduate School,Southwest Petroleum Institute,Chengdu 610500,China);The Application and Determination of Multi-grade Remnant Grey Model in Oil and Gas Pipeline[J];Pipeline Technique and Equipment;2005-05
4 LONG Xue-yuan,YUAN Zong-ming(Southwest Petroleum University,Chengdu 610500,China);Application of an Unequal Interval Gray Forecast GM(1,1) Model for Gas Pipeline Corrosion Forecast[J];Pipeline Technique and Equipment;2006-01
5 WANG Bing1,TIAN Dan2,LIU Shu-wen3,LUO Shan3,FANG Jiong4,SUN Li4(1.Yu-wan Management Division,West-East Gas Pipeline Corporation of Petrochina,Chuzhou 233200,China;2.Chongqing Kaiyuan Petroleum & Natural Gas Co.,Ltd.,Chongqing 400021,China;3.Sichuan Kehong Oil & Gas Engineering Co.,Ltd.,Chongqing 400021,China;4.Graduate School,Southwest Petroleum University,Chengdu 610500,China);Application of Grey Model to Predict Natural Gas Consumption[J];Pipeline Technique and Equipment;2008-05
6 CHENG Xiao-Lei~(1,2,3) FAN Teng-Fei~(1,2,3) DU Peng-Fei~(1,2,3) TIAN Wen-Dong~(1,2) Xiao Yun-Han~(1,2) (1.Key Laboratory of Advanced Energy and Power(IET),CAS,Beijing 100190,China; 2.Research Center for Clean Energy and Power,CAS,Beijing 100190,China; 3.Graduate School of Chinese Academy of Sciences,Beijing 100049,China);Thermodynamic Analysis of Direct Methane Production From Coal[J];Journal of Engineering Thermophysics;2012-10
7 LI Zhi-xue,SUN Dan(Center of Economics and Management Research,Xi'an University of Petroleum Oil and Gas Resource,Xi'an 710065,China);Seasonal Forecasts of Natural Gas Production Compared with the Choice of Model[J];Statistics & Information Forum;2009-10
8 Yan Ping1,Cao Weiwu1,Qian Shangyuan1,Liu Weijun1,Yang Liyun2(1.Shanghai University of Engineering Science,Shanghai 201620,China;2.University of Shanghai for Science and Technology,Shanghai 200093,China);Research and design of a new wet-type LNG heating and gasification facility with self-impacting and circulating flue gas[J];Natural Gas Industry;2011-01
9 Wang Bing (PetroChina West-East Gas Pipeline Co., Yu-Wan Management Department, Dingyuan, Anhui, 233200, China)Liu Shuwen, Luo Shan (Sichuan Kehong Oil and Gas Engineering Co., Ltd, Chongqing, 400021, China)Fang Jiong, Sun Li (Southwest Petroleum University Graduate School, Chengdu, Sichuan, 610500, China);Application of Grey Model to Predict Natural Gas Consumption[J];Natural Gas and Oil;2008-05
10 Gao Chao,Zhang Jingguo,Li Hongfu(PetroChina Xinjiang Oil Field O&G Transportation and Storage Co.,Karamay,Xinjiang,834002,China);Construction,Operation and Management of Gas Pipelines in Dzungarian Basin[J];Natural Gas and Oil;2009-03
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