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Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
Authors:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:46/0  |  Submit date:2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
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
Authors:  Li, Dan;  Jiang, Fuxin;  Chen, Min;  Qian, Tao
Favorite  |  View/Download:61/0  |  Submit date:2022/04/02
Wind speed forecasting  Ensemble patch transform  Complete ensemble empirical mode  decomposition  Temporal convolutional network  Hybrid method  
Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency 期刊论文
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2021, 卷号: 58, 页码: 16
Authors:  Jin, Xuejun;  Zhu, Keer;  Yang, Xiaolan;  Wang, Shouyang
Favorite  |  View/Download:42/0  |  Submit date:2022/04/02
Bitcoin  Fiat currency  Empirical mode decomposition  Event analysis  
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
Authors:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
Favorite  |  View/Download:39/0  |  Submit date:2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
A decomposition-ensemble approach for tourism forecasting 期刊论文
ANNALS OF TOURISM RESEARCH, 2020, 卷号: 81, 页码: 16
Authors:  Xie, Gang;  Qian, Yatong;  Wang, Shouyang
Favorite  |  View/Download:89/0  |  Submit date:2020/06/30
Tourism demand  Complete ensemble empirical mode decomposition with adaptive noise  Data characteristic analysis  Time series forecasting