标题:Forecasting China's regional energy demand by 2030: A Bayesian approach
作者:Yuan, XC[1,2];Sun, X[3,4];Zhao, WG[2,5];Mi, ZF[6];Wang, B[2,7];Wei, YM[2,5]
作者全称:Yuan, Xiao-Chen[1,2];Sun, Xun[3,4];Zhao, Weigang[2,5];Mi, Zhifu[6];Wang, Bing[2,7];Wei, Yi-Ming[2,5]
通讯作者:Yuan, Xiao-Chen(xc.yuan@outlook.com)
通讯作者地址:Yuan, XC (reprint author), Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China.; Yuan, XC; Wei, YM (reprint author), Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China.; Wei, YM (reprint author), Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.; Mi, ZF (reprint author), UCL, Bartlett Sch, Sch Construct & Project Management, 1-19 Torrington Pl, London WC1E 7HB, England.
出版年:2017
卷:127
页码:85-95
关键词:Energy demand; Model uncertainty; Bayesian; Forecast
摘要:China has been the largest energy consumer in the world, and its future energy demand is of concern to policy makers. With the data from 30 provinces 更多
收录类别:EI;SCOPUS;SCIE;SSCI
WOS被引:1
资源类型:外文期刊论文
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使用许可: CC BY-NC-SA
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