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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  
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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Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
Authors:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
Favorite  |  View/Download:79/0  |  Submit date:2022/04/02
Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model  
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
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Crude oil price forecasting  Decomposition-ensemble method  Support vector machine  Multiscale strategy  Complexity analysis  
An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 15
Authors:  Du, Zongjuan;  Heng, Jiani;  Niu, Mingfei;  Sun, Shaolong
Favorite  |  View/Download:40/0  |  Submit date:2022/04/02
Air quality early-warning system  Length-changeable incremental extreme  learning machine  Hybrid ensemble model  Fuzzy evaluation  
A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices Forecasting in Uncertainty Environments 期刊论文
FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 11
Authors:  Huang, Bai;  Sun, Yuying;  Wang, Shouyang
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crude oil prices forecasting  forecast combination  interval-valued time series  model averaging  vector L2-boosting  
Forecasting crude oil price intervals and return volatility via autoregressive conditional interval models 期刊论文
ECONOMETRIC REVIEWS, 2021, 卷号: 40, 期号: 6, 页码: 584-606
Authors:  He, Yanan;  Han, Ai;  Hong, Yongmiao;  Sun, Yuying;  Wang, Shouyang
Favorite  |  View/Download:59/0  |  Submit date:2021/10/26
ACI model  interval-valued crude oil prices  range  trading strategy  volatility forecast  
Forecasting on China’s Water Demand by Industry in 2021 期刊论文
IOP Conference Series: Earth and Environmental Science, 2021, 卷号: 772, 期号: 1
Authors:  Liu,Xiuli;  Qin,Minghui;  Xiang,Xin
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Review of tourism forecasting research with internet data 期刊论文
TOURISM MANAGEMENT, 2021, 卷号: 83, 页码: 11
Authors:  Li, Xin;  Law, Rob;  Xie, Gang;  Wang, Shouyang
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Internet data  Tourism forecasting  Search engine  Social media  Systematic review  
Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm 期刊论文
RENEWABLE ENERGY, 2020, 卷号: 162, 页码: 1208-1226
Authors:  Hu, Jianming;  Heng, Jiani;  Wen, Jiemei;  Zhao, Weigang
Favorite  |  View/Download:62/0  |  Submit date:2021/04/26
Renewable energy  Complete empirical mode decomposition with adaptive noise  Quantile regression neural network  Wind speed forecasting  Distance correlation