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求助： 哪位朋友有资源帮忙查一下论文是否被SCI收录？ 论文题目：Stochastic Time Series Analysis for Energy System Based on Markov Chain Model doi:10.1007/s11036-016-0796-3 谢谢！！ |
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恭喜，已经被SCI收录！ Stochastic Time Series Analysis for Energy System Based on Markov Chain Model 作者:Ruan, ZS (Ruan, Zhengshun)[ 1,2 ] ; Luo, AH (Luo, Aihua)[ 3 ] ; Yao, H (Yao, Hong)[ 1 ] MOBILE NETWORKS & APPLICATIONS 卷: 22 期: 3 页: 427-434 特刊: SI DOI: 10.1007/s11036-016-0796-3 出版年: JUN 2017 查看期刊影响 摘要 The markov prediction and analysis is a method based on markov chain theory, according to the present states and tendency of some variables, the possible states in a given period in the future will be forecasted. To determine the transition probability matrix is the crux of this method. This paper applies stochastic time series based on markov chain model to forecast the developing trends of China's energy consumption structure under the influence of energy policy. This model is adopted to forecast the total amount of energy consumption and the trends of energy production and consumption structures. China's energy consumption during 2006-2011 are simulated and its trends in 2015 and 2020 are forecast through this model. Results demonstrate that this model can effectively simulate and forecast the total amount and structures of primary energy consumption. Although the growth rate of energy consumption in China has decreased under the energy saving policy, but it not enough to achieve the objective of carbon reduction. 关键词 作者关键词:Markov chain; Transition probability matrix; Carbon emission KeyWords Plus  EMAND作者信息 通讯作者地址: Luo, AH (通讯作者) 显示增强组织信息的名称 South Cent Univ Nationalities, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China. 地址: 显示增强组织信息的名称 [ 1 ] Huazhong Univ Sci & Technol, State Key Lab Coal Combust, Wuhan, Peoples R China 显示增强组织信息的名称 [ 2 ] Wuhan Inst Technol, Sch Sci, Wuhan, Peoples R China 显示增强组织信息的名称 [ 3 ] South Cent Univ Nationalities, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China 电子邮件地址:rzhengs@wit.edu.cn; luoah@foxmail.com; hyao@hust.edu.cn 基金资助致谢 基金资助机构 授权号 Natural Science Foundation of Hubei Province of China 2014CFB917 查看基金资助信息 出版商 SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 类别 / 分类 研究方向:Computer Science; Telecommunications Web of Science 类别:Computer Science, Hardware & Architecture; Computer Science, Information Systems; Telecommunications 文献信息 文献类型:Article 语种:English 入藏号: WOS:000403326500009 ISSN: 1383-469X eISSN: 1572-8153 期刊信息 目录： Current Contents Connect Impact Factor (影响因子): Journal Citation Reports |
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