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)
Department工业控制网络与系统研究室
Source PublicationTelkomnika
ISSN1693-6930
2013
Volume11Issue:12Pages:7021-7026
Indexed ByEI
EI Accession number20134616987859
Contribution Rank1
KeywordElectricity Housing Linear Regression Neural Networks
AbstractIn 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/13998
Collection工业控制网络与系统研究室
Corresponding AuthorFeng HX(冯海霞)
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Research in resident(266KB)期刊论文出版稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Feng HX(冯海霞)]'s Articles
[Wang ZF(王忠锋)]'s Articles
[Ge WC(葛维春)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Feng HX(冯海霞)]'s Articles
[Wang ZF(王忠锋)]'s Articles
[Ge WC(葛维春)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Feng HX(冯海霞)]'s Articles
[Wang ZF(王忠锋)]'s Articles
[Ge WC(葛维春)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Research in residential electricity characteristics and short-term load forecasting.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.