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	Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning
	Yang, M.; Fan, S.; Lee, W.-J.
刊名	IEEE Transactions on Industry Applications
	2013
卷号	49期号:6页码:2783-2792
关键词	Discrete wavelet transform (DWT) probabilistic forecast sparse Bayesian learning (SBL) wind generation forecast
DOI	10.1109/TIA.2013.2265292
会议名称	48th IEEE/IAS Industrial and Commercial Power Systems Technical Conference
URL标识	查看原文
会议日期	MAY 20-24, 2012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5175200
专题	山东大学
作者单位	1.Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan 250061, China 2.[ Fan
推荐引用方式 GB/T 7714	Yang, M.,Fan, S.,Lee, W.-J.. Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning[J]. IEEE Transactions on Industry Applications,2013,49(6):2783-2792.
APA	Yang, M.,Fan, S.,&Lee, W.-J..(2013).Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning.IEEE Transactions on Industry Applications,49(6),2783-2792.
MLA	Yang, M.,et al."Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning".IEEE Transactions on Industry Applications 49.6(2013):2783-2792.

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