Research on the Short-term Electric Load Forecasting Based on Fuzzy Rules

被引：0
|
作者：
Liu, Tongna [1 ]
Zhang, Qian [2 ]
机构：
[1] North China Elect Power Univ, Dept Elect & Commun Engn, Baoding, Hebei, Peoples R China
[2] North China Elect Power Univ, Dept Econ Management, Baoding, Hebei, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年
关键词：
Load Forecasting; Fuzzy Rules; Takagi-Sugeno;
D O I：
10.1109/WKDD.2010.89
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a new method for load forecasting-fuzzy rules by genetic algorithms based on Takagi-Sugeno Fuzzy Logic System, and establishing the fuzzy model for load forecasting. It can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the short-term electric load forecasting.
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页码：179 / 181
页数：3
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