CORC  > 兰州大学  > 兰州大学  > 资源环境学院  > 期刊论文
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
Wang, JZ; Qin, SS; Zhou, QP; Jiang, HY
刊名RENEWABLE ENERGY
2015-04
卷号76页码:91-101
关键词Wind speed forecasting Outlier detection Support vector regression Elman recurrent neural network Hybrid model
ISSN号0960-1481
通讯作者Qin, SS (reprint author), Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Res Sch Arid Environm & Climate Change, Lanzhou 730000, Peoples R China.
学科主题Energy & Fuels
出版地OXFORD
语种英语
WOS记录号WOS:000348955400011
内容类型期刊论文
源URL[http://ir.lzu.edu.cn/handle/262010/120550]  
专题资源环境学院_期刊论文
推荐引用方式
GB/T 7714
Wang, JZ,Qin, SS,Zhou, QP,et al. Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China[J]. RENEWABLE ENERGY,2015,76:91-101.
APA Wang, JZ,Qin, SS,Zhou, QP,&Jiang, HY.(2015).Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China.RENEWABLE ENERGY,76,91-101.
MLA Wang, JZ,et al."Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China".RENEWABLE ENERGY 76(2015):91-101.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace