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
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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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