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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:18/0  |  Submit date:2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
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:49/0  |  Submit date:2020/05/24
Exchange rate forecasting  Interval-valued data  Autoregressive model  Neural networks  Bivariate empirical mode decomposition  
Crude oil price forecasting based on internet concern using an extreme learning machine 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2018, 卷号: 34, 期号: 4, 页码: 665-677
Authors:  Wang, Jue;  Athanasopoulos, George;  Hyndman, Rob J.;  Wang, Shouyang
Favorite  |  View/Download:79/0  |  Submit date:2018/11/16
Crude oil futures price  Internet concern  BEMD  ELM  
Interval decomposition ensemble approach for crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2018, 卷号: 76, 页码: 274-287
Authors:  Sun, Shaolong;  Sun, Yuying;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:69/0  |  Submit date:2019/03/05
Bivariate empirical mode decomposition  Crude oil price forecasting  Interval-valued time series  Interval Holt's method  Interval neural networks  
Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach 期刊论文
ENERGY ECONOMICS, 2015, 卷号: 51, 页码: 300-311
Authors:  Yu, Lean;  Li, Jingjing;  Tang, Ling;  Wang, Shuai
Favorite  |  View/Download:22/0  |  Submit date:2018/07/30
Bivariate empirical mode decomposition  Nonlinear Granger causality test  Multi-scale analysis  Carbon market  Crude oil market