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	A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community
	Li, Y; Wen, Z; Cao, YJ; Tan, Y; Sidorov, D; Panasetsky, D
刊名	Energy
	2017
卷号	Vol.129页码:216-227
关键词	Wind power Photovoltaic generation Support vector machine Combined forecasting Smart community
ISSN号	0195-6574
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/6036673
专题	湖南大学
作者单位	1.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 2.State Grid Changsha Power Supply Co, Changsha 410000, Hunan, Peoples R China 3.Russian Acad Sci, Energy Syst Inst, Irkutsk 664033, Russia
推荐引用方式 GB/T 7714	Li, Y,Wen, Z,Cao, YJ,et al. A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community[J]. Energy,2017,Vol.129:216-227.
APA	Li, Y,Wen, Z,Cao, YJ,Tan, Y,Sidorov, D,&Panasetsky, D.(2017).A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community.Energy,Vol.129,216-227.
MLA	Li, Y,et al."A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community".Energy Vol.129(2017):216-227.

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