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Forecasting China's natural gas demand based on optimised nonlinear grey models 期刊论文
ENERGY, 2017, 期号: 140, 页码: 941-951
作者:  Shaikh, Faheemullah;  Ji, Qiang;  Shaikh, Pervez Hameed;  Mirjat, Nayyar Hussain;  Uqaili, Muhammad Aslam
Adobe PDF(662Kb)  |  收藏  |  浏览/下载:278/0  |  提交时间:2018/06/08
Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model 期刊论文
ENERGY, 2014, 卷号: 68, 期号: 1, 页码: 930-938
作者:  Yang, YY;  Li, JP;  Sun, XL;  Chen, JM
Adobe PDF(1309Kb)  |  收藏  |  浏览/下载:292/0  |  提交时间:2015/07/24
Exploring energy consumption and demand in China 期刊论文
ENERGY, 2012, 卷号: 40, 期号: 1, 页码: 8,23-30
作者:  Fan, Y;  Xia, Y
Adobe PDF(311Kb)  |  收藏  |  浏览/下载:614/2  |  提交时间:2012/11/12
Energy Intensity  Energy Demand  Hybrid Energy I-o Model  Modified Ras  
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 13,6542-6554
作者:  Wang, S;  Yu, L;  Tang, L;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载:472/3  |  提交时间:2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition  
An empirical analysis of energy efficiency in China's iron and steel sector 期刊论文
ENERGY, 2007, 卷号: 32, 期号: 12, 页码: 9,2262-2270
作者:  Wei, YM;  Liao, H;  Fan, Y
Adobe PDF(190Kb)  |  收藏  |  浏览/下载:753/3  |  提交时间:2012/11/12
Iron And Steel Sector  Energy Efficiency  Malmquist Index  Technical Change  Technical Efficiency