The Extraction Method of the Energy Consumption Characteristics Based on Fuzzy Rough Set

被引：0
|
作者：
Zhao Ming [1 ]
Yan Zhengbo [1 ]
Zhou Liukun [1 ]
Wang Huijie [2 ]
Xu Xiaogang [2 ]
机构：
[1] Yunnan Elect Power Test & Res Inst Grp Co Ltd, Elect Power Res Inst, Kunming 650217, Yunnan Province, Peoples R China
[2] North China Elect Power Univ, Baoding, Peoples R China
来源：
AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS | 2012年 / 1卷
关键词：
Energy consumption; associative relation; fuzzy rough set; reduction rule; data mining;
D O I：
10.1016/j.aasri.2012.06.023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The large coal-fired power generation system characterizes as complex structure, highly coupling and nonlinear correlation between energy consumption and external environment, resources and load demand. The attribute reduction method based on fuzzy rough set (FRS) was introduced to extract the dominant features related to energy consumption and eliminate the redundant features as well. Taking the reduced attributes as input variables, which provide the important base for analyze the energy consumption of the coal-fired power unit. (C) 2012 Published by Elsevier B. V. Selection and/or peer review under responsibility of American Applied Science Research Institute
引用
收藏
页码：142 / 149
页数：8
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