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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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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
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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
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
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View/Download:107/0
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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
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View/Download:152/0
  |  
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
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View/Download:133/0
  |  
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
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Submit date:2018/07/30
Bivariate empirical mode decomposition
Nonlinear Granger causality test
Multi-scale analysis
Carbon market
Crude oil market