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Regional variation in the drivers of China's residential electricity consumption (REC) and policy orientation 期刊论文
ENERGY FOR SUSTAINABLE DEVELOPMENT, 2022, 卷号: 67, 页码: 112-124
作者:  Wang, Shubin;  Sun, Shaolong;  Zhao, Erlong;  Wang, Shouyang
收藏  |  浏览/下载：100/0  |  提交时间：2022/06/21
Residential electricity consumption  Regional difference  LMDI method  China  
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：115/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
作者:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
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  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
作者:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：169/0  |  提交时间：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting