Prediction error analysis of wind power based on clustering and non-parametric kernel density estimation

被引：0
|
作者：
Zhang, Xiaoying [1 ,2 ,3 ]
Zhang, Xiaomin [1 ,2 ,3 ]
Liao, Shun [4 ]
Chen, Wei [1 ,2 ,3 ]
Wang, Xiaolan [1 ,2 ,3 ]
机构：
[1] College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou,730050, China
[2] Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou,730050, China
[3] National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou,730050, China
[4] Liangshan Power Supply Corporation, State Grid Sichuan Electric Power Company, Xichang,615000, China
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2019年 / 40卷 / 12期
关键词：
Fitting accuracy - Non-parametric estimations - Segmental clustering - Wind power forecast - Window width;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3594 / 3604
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