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	Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables
	Jing Li; Na Ou; Guang Lin; Wei Wei
刊名	IEEE Transactions on Power Systems
	2019
卷号	Vol.34 No.2页码:1438-1449
关键词	Stochastic processes Uncertainty Economics Compressed sensing Random variables Power systems Mathematical model Compressive sensing K-L expression sparse polynomial approximation uncertainty qualification stochastic economic dispatch
ISSN号	0885-8950;1558-0679
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4610324
专题	湖南大学
作者单位	1.Department of Information and Electrical Engineering, Zhejiang University City College, Hangzhou, China 2.College of Mathematics and Econometrics, Hunan University, Changsha, China 3.Department of Mathematics, Purdue University, West Lafayette, IN, USA 4.Department of Electrical Engineering, Zhejiang University, Hangzhou, China
推荐引用方式 GB/T 7714	Jing Li,Na Ou,Guang Lin,et al. Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables[J]. IEEE Transactions on Power Systems,2019,Vol.34 No.2:1438-1449.
APA	Jing Li,Na Ou,Guang Lin,&Wei Wei.(2019).Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables.IEEE Transactions on Power Systems,Vol.34 No.2,1438-1449.
MLA	Jing Li,et al."Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables".IEEE Transactions on Power Systems Vol.34 No.2(2019):1438-1449.

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