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	One Parametric Approach for Short-Term JPDF Forecast of Wind Generation
	Yang, Ming; Zhu, Simeng; Liu, Meng; Lee, Wei-Jen
刊名	IEEE Transactions on Industry Applications
	2014
卷号	50期号:4页码:2837-2843
关键词	Joint probability density function (JPDF) forecast power systems sparse Bayesian learning (SBL) support vector machine (SVM) wind power forecast
DOI	10.1109/TIA.2014.2300188
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4794563
专题	山东大学
作者单位	1.Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Jinan 250061, China 2.Key Laboratory of Power
推荐引用方式 GB/T 7714	Yang, Ming,Zhu, Simeng,Liu, Meng,et al. One Parametric Approach for Short-Term JPDF Forecast of Wind Generation[J]. IEEE Transactions on Industry Applications,2014,50(4):2837-2843.
APA	Yang, Ming,Zhu, Simeng,Liu, Meng,&Lee, Wei-Jen.(2014).One Parametric Approach for Short-Term JPDF Forecast of Wind Generation.IEEE Transactions on Industry Applications,50(4),2837-2843.
MLA	Yang, Ming,et al."One Parametric Approach for Short-Term JPDF Forecast of Wind Generation".IEEE Transactions on Industry Applications 50.4(2014):2837-2843.

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