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Forecasting annual natural gas consumption via the application of a novel hybrid model 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 卷号: 28, 期号: 17, 页码: 21411
作者:  Gao, Feng;  Shao, Xueyan
Adobe PDF(996Kb)  |  收藏  |  浏览/下载：147/0  |  提交时间：2022/02/10
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：231/0  |  提交时间：2021/01/26
Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index  
A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm 期刊论文
ENERGIES, 2020, 卷号: 13, 页码: 550
作者:  Hao, Jun;  Sun, Xiaolei;  Feng, Qianqian
Adobe PDF(3034Kb)  |  收藏  |  浏览/下载：199/0  |  提交时间：2021/01/16
Comparative study of classifier ensembles for cost-sensitive credit risk assessment 期刊论文
INTELLIGENT DATA ANALYSIS, 2015, 期号: 19, 页码: 127-144
作者:  Du, Huibin;  Li, Bingli;  Brown, Marilyn A.;  Mao, Guozhu;  Rameezdeen, Raufdeen;  Chen, Hao
Adobe PDF(399Kb)  |  收藏  |  浏览/下载：285/0  |  提交时间：2016/09/08
Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance 期刊论文
ECONOMIC MODELLING, 2014, 期号: 42, 页码: 287-295
作者:  Sun, XL;  Tang, L;  Yang, YY;  Wu, DS;  Li, JP;  北京8712信箱
Adobe PDF(1591Kb)  |  收藏  |  浏览/下载：292/0  |  提交时间：2016/09/19
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：658/7  |  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：473/3  |  提交时间：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition