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A dynamic ensemble learning with multi-objective optimization for oil prices prediction 期刊论文
RESOURCES POLICY, 2022, 卷号: 79
作者:  Hao, Jun;  Feng, Qianqian;  Yuan, Jiaxin;  Sun, Xiaolei;  Li, Jianping
收藏  |  浏览/下载：70/0  |  提交时间：2023/05/30
Ensemble forecasting  Dynamic ensemble  Time-varying weight  Oil price forecasting  Multi-objective optimization  
Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming 期刊论文
Expert Systems with Applications, 2021, 卷号: 166, 页码: 114091
作者:  Jianping Li;  Jun Hao;  Qianqian Feng;  Xiaolei Sun;  Mingxi Liu
Adobe PDF(1654Kb)  |  收藏  |  浏览/下载：228/0  |  提交时间：2021/01/26
Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index  
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting 期刊论文
APPLIED ENERGY, 2012, 卷号: 93, 期号: 1, 页码: 12,432-443
作者:  Tang, L;  Yu, LA;  Wang, S;  Li, JP;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：656/7  |  提交时间：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 13,6542-6554
作者:  Wang, S;  Yu, L;  Tang, L;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：472/3  |  提交时间：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition