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山东大学 [4]

湖南大学 [4]

北京航空航天大学 [3]

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兰州大学 [2]

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	A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning 期刊论文 Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4 作者: Wang, Nier; Li, Zhanming 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/09/22 Data handling Decision trees Electric load dispatching Machine learning Weather forecasting Wind farm Ensemble learning Forecasting methods Large amounts Multi-model combination Processing capacities Short-term wind power forecasting Stacking framework Stackings Times series
	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 作者: Huang, Bai; Sun, Yuying; Wang, Shouyang 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/02 crude oil prices forecasting forecast combination interval-valued time series model averaging vector L2-boosting
	Fault Monitoring Method of Wind Turbine Main Bearing 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415 作者: Zheng, Yuqiao; Wei, Jianfeng; Zhu, Kai; Dong, Bo 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/17 Bearings (machine parts) Forecasting Linear regression Monitoring Sliding mode control Statistics Support vector machines Support vector regression Wind turbines Change of temperatures Combination forecasting models Determination coefficients Mean and standard deviations Multiple linear regression models Multivariate linear regression model Sliding window methods Support vector machine regressions
	A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing 期刊论文 ENERGY, 2019, 卷号: 168, 页码: 558-572 作者: Zhang, Yachao; Le, Jian; Liao, Xiaobing; Zheng, Feng; Li, Yinghai 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/11/21 Combination forecasting model Singular spectrum analysis Deep belief network Least square support vector machine Wind power Locality-sensitive hashing
	A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing 期刊论文 ENERGY, 2019, 卷号: 168 作者: Zhang, Yachao; Le, Jian; Liao, Xiaobing; Zheng, Feng; Li, Yinghai 收藏 \| 浏览/下载：80/0 \| 提交时间：2019/12/05 Wind power Combination forecasting model Deep belief network Singular spectrum analysis Locality-sensitive hashing Least square support vector machine
	A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 卷号: 10, 期号: 1, 页码: 226-237 作者: Lin, You; Yang, Ming; Wan, Can; Wang, Jianhui; Song, Yonghua 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/11 Terms-Multi-model combination probabilistic forecasting wind power uncertainty
	GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries 期刊论文 Applied Soft Computing Journal, 2018, 卷号: Vol.62, 页码: 478-490 作者: Mo, L.; Xie, L.; Jiang, X.; Teng, G.; Xu, L. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/02/25 Container throughput forecasting GMDH neural network Hybrid model Selective combination forecasting
	A Multi-model Combination Approach for Probabilistic Wind Power Forecasting 期刊论文 IEEE Transactions on Sustainable Energy, 2018 作者: Lin Y.; Yang M.; Wan C.; Wang J.; Song Y. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/11 Adaptation models Forecasting Multi-model combination Predictive models probabilistic forecasting Probabilistic logic Uncertainty uncertainty Wind forecasting wind power Wind power generation
	A combination model with variable weight optimization for short-term electrical load forecasting 期刊论文 2018, 卷号: 164, 页码: 575-593 作者: Li, Wei-Qin; Chang, Li 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/20 Electrical power forecasting Combination model Culture particle swarm optimization Anomaly detection
	A Case Study on a Combination NDVI Forecasting Model Based on the Entropy Weight Method 期刊论文 2017, 卷号: 31, 页码: 3667-3681 作者: Huang, Shengzhi; Ming, Bo; Huang, Qiang; Leng, Guoyong; Hou, Beibei 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/20 Combination forecasting model NDVI The entropy weight method SVM The Yellow River basin

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