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China?s energy consumption and economic activity at the regional level 期刊论文
ENERGY, 2022, 卷号: 259, 页码: 12
作者:  Zheng, Jiali;  Feng, Gengzhong;  Ren, Zhuanzhuan;  Qi, Nengxi;  Coffman, D'Maris;  Zhou, Yunlai;  Wang, Shouyang
收藏  |  浏览/下载：57/0  |  提交时间：2023/02/07
China  Economic development  Energy consumption  Decomposition analysis  Regional value chains  
A novel two-stage seasonal grey model for residential electricity consumption forecasting 期刊论文
ENERGY, 2022, 卷号: 258, 页码: 18
作者:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
收藏  |  浏览/下载：65/0  |  提交时间：2023/02/07
Electricity consumption forecasting  Grey model  Seasonal factor  Error correction strategy  
The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers 期刊论文
ENERGY, 2022, 卷号: 239, 页码: 12
作者:  Shi, Huiting;  Chai, Jian;  Lu, Quanying;  Zheng, Jiali;  Wang, Shouyang
收藏  |  浏览/下载：125/0  |  提交时间：2022/04/02
CO2 emissions  Low-carbon economy  Transition impact  Bayesian network  
Urban and rural differences with regional assessment of household energy consumption in China 期刊论文
ENERGY, 2021, 卷号: 232, 页码: 15
作者:  Wang, Shubin;  Sun, Shaolong;  Zhao, Erlong;  Wang, Shouyang
收藏  |  浏览/下载：104/0  |  提交时间：2022/04/02
Household energy consumption  Urban-rural difference  Regional assessment  LMDI framework  
Impact factors of the real-world fuel consumption rate of light duty vehicles in China 期刊论文
ENERGY, 2020, 卷号: 190, 页码: 12
作者:  Wu, Tian;  Han, Xiao;  Zheng, M. Mocarlo;  Ou, Xunmin;  Sun, Hongbo;  Zhang, Xiong
收藏  |  浏览/下载：163/0  |  提交时间：2020/06/30
Real-world fuel consumption rate  Energy consumption  Private passenger vehicles  Big data  China  
A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors 期刊论文
ENERGY, 2016, 卷号: 115, 页码: 1042-1054
作者:  Liu, Xiuli;  Moreno, Blanca;  Salome Garcia, Ana
收藏  |  浏览/下载：145/0  |  提交时间：2018/07/30
Primary energy consumption  Combined forecasting model  Input-output  Grey methods  
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: 6542-6554
作者:  Wang, Shuai;  Yu, Lean;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30
Hydropower consumption forecasting  LSSVR ensemble Learning  Seasonal decomposition