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Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks 期刊论文
APPLIED ENERGY, 2023, 卷号: 331, 页码: 20
Authors:  Li, Dan;  Li, Yijun;  Wang, Chaoqun;  Chen, Min;  Wu, Qi
Favorite  |  View/Download：56/0  |  Submit date：2023/02/07
Carbon price forecast  Granger forecast  Real-time decomposition  Neural Granger causality  Causal temporal convolutional network  
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach 期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-e;  Li, Yanzhao;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：22/0  |  Submit date：2023/02/07
Short -term load forecasting  Time series modeling  Dynamic decomposition-reconstruction tech  nique  Neural networks  
A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach 期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
Authors:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：24/0  |  Submit date：2023/02/07
AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM  
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：110/0  |  Submit date：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
Authors:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download：77/0  |  Submit date：2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
Favorite  |  View/Download：74/0  |  Submit date：2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
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：74/0  |  Submit date：2022/04/02
Bitcoin  Fiat currency  Empirical mode decomposition  Event analysis  
Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
Authors:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：65/0  |  Submit date：2022/04/02
Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
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
Authors:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：134/0  |  Submit date：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
Interval forecasting of exchange rates: a new interval decomposition ensemble approach 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 28
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download：107/0  |  Submit date：2020/05/24
Exchange rate forecasting  Interval-valued data  Autoregressive model  Neural networks  Bivariate empirical mode decomposition