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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 专题：科技战略咨询研究院    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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：6/0  |  提交时间：2023/05/30 Ensemble forecasting  Dynamic ensemble  Time-varying weight  Oil price forecasting  Multi-objective optimization   Forecasting residential electricity consumption using a hybrid machine learning model with online search data 期刊论文 Applied Energy, 2021, 期号: 300, 页码: 1-13 作者:  Gao Feng;  Chi Hong;  Shao Xueyan 收藏  |  浏览/下载：3/0  |  提交时间：2022/03/01 Residential electricity consumption forecasting  Online search data  Extreme learning machine  Jaya   Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming 期刊论文 Expert Systems with Applications, 2020, 期号: 166, 页码: 114091 作者:  Jianping Li;  Jun Hao;  Qianqian Feng;  Xiaolei Sun;  Mingxi Liu 收藏  |  浏览/下载：175/0  |  提交时间：2021/01/26 Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index   A novel cryptocurrency price trend forecasting model based on LightGBM 期刊论文 FINANCE RESEARCH LETTERS, 2020, 卷号: 32, 期号: 101084, 页码: 1 作者:  Sun Xiaolei;  Liu Mingxi;  Sima Zeqian 收藏  |  浏览/下载：8/0  |  提交时间：2021/01/16 Cryptocurrency  Trend forecasting  LightGBM  Forecasting performance   A novel text-based framework for forecasting agricultural futures using massive online news headlines 期刊论文 International Journal of Forecasting, 2020, 期号: 4, 页码: 1-16 作者:  Li, Jianping;  Li, Guowen;  Liu, Mingxi;  Zhu, Xiaoqian;  Wei, Lu 收藏  |  浏览/下载：9/0  |  提交时间：2021/01/17 Agricultural futures  Price forecasting  Text analysis  Financial risk  Influential factors   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 Tang, L; Yu, LA; Wang, S; Li, JP; Wang, SY 收藏  |  浏览/下载：28/0  |  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 收藏  |  浏览/下载：13/0  |  提交时间：2012/11/12 Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition