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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  
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：100/0  |  Submit date：2022/04/02
Wind speed forecasting  Ensemble patch transform  Complete ensemble empirical mode  decomposition  Temporal convolutional network  Hybrid method  
A novel multiscale forecasting model for crude oil price time series 期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
Authors:  Li, Ranran;  Hu, Yucai;  Heng, Jiani;  Chen, Xueli
Favorite  |  View/Download：74/0  |  Submit date：2022/04/02
Crude oil price forecasting  Decomposition-ensemble method  Support vector machine  Multiscale strategy  Complexity 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：70/0  |  Submit date：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
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
Favorite  |  View/Download：77/0  |  Submit date：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
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  
A multi-scale method for forecasting oil price with multi-factor search engine data 期刊论文
APPLIED ENERGY, 2020, 卷号: 257, 页码: 12
Authors:  Tang, Ling;  Zhang, Chengyuan;  Li, Ling;  Wang, Shouyang
Favorite  |  View/Download：99/0  |  Submit date：2020/05/24
Big data  Search engine data  Google trends  Multivariate empirical mode decomposition  Oil price forecasting  
A new multiscale decomposition ensemble approach for forecasting exchange rates 期刊论文
ECONOMIC MODELLING, 2019, 卷号: 81, 页码: 49-58
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download：121/0  |  Submit date：2020/01/10
Exchange rates forecasting  Variational mode decomposition  Support vector regression  Support vector neural network  Ensemble learning  
A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999
Authors:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download：192/0  |  Submit date：2018/11/16
Secondary-decomposition-ensemble learning paradigm  Complementary ensemble empirical mode decomposition  Phase space reconstruction  Least square support vector regression  Hybrid intelligent algorithm