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Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 22
作者:  Li, Dan;  Jiang, Fuxin;  Chen, Min;  Qian, Tao
收藏  |  浏览/下载：135/0  |  提交时间：2022/04/02
Wind speed forecasting  Ensemble patch transform  Complete ensemble empirical mode  decomposition  Temporal convolutional network  Hybrid method  
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  
The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China 期刊论文
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2021, 页码: 25
作者:  Sun, Shaolong;  Jiang, Fuxin;  Feng, Gengzhong;  Wang, Shouyang;  Zhang, Chengyuan
收藏  |  浏览/下载：128/0  |  提交时间：2022/04/02
COVID-19  Hotel reviews  Text mining  Word2vec  Cluster analysis  Topic model  
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：168/0  |  提交时间：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting