标题:Research on power system load forecasting based on classification of influence factors
作者:Wang Y.; Han X.
作者机构:[Wang, Y] Key Laboratory of Power System Intelligent Dispatch, Control of Ministry of Education, Shandong University, Jinan, 250061, China;[ Han, X] K 更多
通讯作者:Wang, Y(wangyantao@gmail.com)
通讯作者地址:[Wang, Y] Key Laboratory of Power System Intelligent Dispatch, Control of Ministry of Education, Shandong UniversityChina;
来源:RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
出版年:2016
卷:2016
期:E14
页码:1-10
关键词:Fuzzy clustering; Gray target theory; Load forecasting
摘要:A new power system load forecasting method is proposed, which uses the combination algorithm of gray target theory and fuzzy clustering to eliminate the relativities among influence factors. The fuzzy clustering is used for classify all influence factors. And the influence degree of each kind of factor to the forecast object is calculated accurately by gray target theory. Then the demand of electricity consumption and maximum load can be predicted by this model. The application of the proposed method in a simulation and engineering system indicates its effectiveness and practicability.
收录类别:SCOPUS;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019122246&partnerID=40&md5=d66f4dab68c4bf62e6340aafde14ce89
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