SIA OpenIR  > 工业控制网络与系统研究室
Research in residential electricity characteristics and short-term load forecasting
Feng HX(冯海霞); Wang ZF(王忠锋); Ge WC(葛维春); Wang YN(王英男)
作者部门工业控制网络与系统研究室
关键词Electricity Housing Linear Regression Neural Networks
发表期刊Telkomnika
ISSN1693-6930
2013
卷号11期号:12页码:7021-7026
收录类别EI
EI收录号20134616987859
产权排序1
摘要In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity. We use SPSS (Statistic Package for Social Science) to figure out the relationship between the daily load and temperature, weather conditions and other factors, finding the main factors among the impacting factors, and analyzing residential electricity consumption habits and load characteristics. Then, the paper introduces the common prediction methods. Combining with the above analysis to choose short-term load forecasting methods for residential users, we create automatic linear regression model and artificial neural network model to predict the future electricity load, calculating the residual between the predicted values and the actual values and mean square deviation of the values, and evaluating the accuracy of the load forecasting. The results prove that automatic linear regression model is effective in residential short-term electricity load forecasting.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/13998
专题工业控制网络与系统研究室
通讯作者Feng HX(冯海霞)
作者单位1.Shenyang Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Science, China
2.Liao-Ning Electric Power limited-liability Company, Shenyang Power Supply Company, China
推荐引用方式
GB/T 7714
Feng HX,Wang ZF,Ge WC,et al. Research in residential electricity characteristics and short-term load forecasting[J]. Telkomnika,2013,11(12):7021-7026.
APA Feng HX,Wang ZF,Ge WC,&Wang YN.(2013).Research in residential electricity characteristics and short-term load forecasting.Telkomnika,11(12),7021-7026.
MLA Feng HX,et al."Research in residential electricity characteristics and short-term load forecasting".Telkomnika 11.12(2013):7021-7026.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Research in resident(266KB)期刊论文出版稿开放获取ODC PDDL浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Feng HX(冯海霞)]的文章
[Wang ZF(王忠锋)]的文章
[Ge WC(葛维春)]的文章
百度学术
百度学术中相似的文章
[Feng HX(冯海霞)]的文章
[Wang ZF(王忠锋)]的文章
[Ge WC(葛维春)]的文章
必应学术
必应学术中相似的文章
[Feng HX(冯海霞)]的文章
[Wang ZF(王忠锋)]的文章
[Ge WC(葛维春)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Research in residential electricity characteristics and short-term load forecasting.pdf
格式: Adobe PDF
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。