CORC  > 兰州理工大学  > 兰州理工大学  > 电气工程与信息工程学院
The forecasting model research of daily solar radiation based on RLS and WT
Wang, Xiaolan1,2; Ge, Pengjiang3
刊名Taiyangneng Xuebao/Acta Energiae Solaris Sinica
2013-03-01
卷号34期号:3页码:433-438
关键词Meteorology Photovoltaic cells Solar power generation Solar radiation Wavelet transforms Daily solar radiations Day types Forecasting modeling Forecasting precision Meteorological data Photovoltaic power Recursive least square (RLS) Sun radiation
ISSN号02540096
英文摘要There is a function relation between the sun radiation and photovoltaic power, the daily solar radiation forecasting model by use of Recursive Least Squares (RLS) and Wavelet Transform (WT) was proposed in this paper. According to the meteorological data, the day with different conditions is classified to different day types, then built different forecasting models for different day types based on the history measurement data. The simulation results showed that the forecasting error of the model based on day types is improved, and the forecasting precision in the sunny weather is higher than the cloudy and rainy days.
语种中文
出版者Science Press
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/113746]  
专题电气工程与信息工程学院
作者单位1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, China;
2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
3.Economic Research Institute of Ningxia Electric Power Corporation, Yinchuan 750002, China
推荐引用方式
GB/T 7714
Wang, Xiaolan,Ge, Pengjiang. The forecasting model research of daily solar radiation based on RLS and WT[J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica,2013,34(3):433-438.
APA Wang, Xiaolan,&Ge, Pengjiang.(2013).The forecasting model research of daily solar radiation based on RLS and WT.Taiyangneng Xuebao/Acta Energiae Solaris Sinica,34(3),433-438.
MLA Wang, Xiaolan,et al."The forecasting model research of daily solar radiation based on RLS and WT".Taiyangneng Xuebao/Acta Energiae Solaris Sinica 34.3(2013):433-438.
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