A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community | |
Li, Y.; Wen, Z.; Cao, Y.; 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 | Combined forecasting Photovoltaic generation Smart community Support vector machine Wind power |
ISSN号 | 0360-5442 |
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/6041098 |
专题 | 湖南大学 |
作者单位 | 1.a College of Electrical and Information Engineering, Hunan University, Changsha, China 2.State Grid Changsha Power Supply Company, Changsha, China 3.Energy Systems Institute, Russian Academy of Sciences, Irkutsk, Russian Federation |
推荐引用方式 GB/T 7714 | Li, Y.,Wen, Z.,Cao, Y.,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, Y.,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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