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. |
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