Forecasting day-ahead electricity prices using a new integrated model | |
Zhang, Jin-Liang; Zhang, Yue-Jun; Li, De-Zhi; Tan, Zhong-Fu; Ji, Jian-Fei | |
刊名 | International Journal of Electrical Power and Energy Systems
![]() |
2019 | |
卷号 | Vol.105页码:541-548 |
ISSN号 | 0142-0615;1873-4324 |
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/4604278 |
专题 | 湖南大学 |
作者单位 | 1.School of Economics and Management, North China Electric Power University, Beijing 2.102206, China 3.Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 4.Business School, Hunan University, Changsha 5.410082, China 6.Center for Resource and Environmental Management, Hunan University, Changsha 7.China Electric Power Research Institute, Beijing 8.100192, China 9.Shanghai Electric Power Company, Shanghai 10.200122, China |
推荐引用方式 GB/T 7714 | Zhang, Jin-Liang,Zhang, Yue-Jun,Li, De-Zhi,et al. Forecasting day-ahead electricity prices using a new integrated model[J]. International Journal of Electrical Power and Energy Systems,2019,Vol.105:541-548. |
APA | Zhang, Jin-Liang,Zhang, Yue-Jun,Li, De-Zhi,Tan, Zhong-Fu,&Ji, Jian-Fei.(2019).Forecasting day-ahead electricity prices using a new integrated model.International Journal of Electrical Power and Energy Systems,Vol.105,541-548. |
MLA | Zhang, Jin-Liang,et al."Forecasting day-ahead electricity prices using a new integrated model".International Journal of Electrical Power and Energy Systems Vol.105(2019):541-548. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论