Short-term load forecasting using Fuzzy Neural Network

被引：0
|
作者：
Shao, S [1 ]
Sun, YM [1 ]
机构：
[1] Tianjin Univ, Dept Elect Engn & Automat, Tianjin 300072, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2 | 1997年
关键词：
Fuzzy Neural Network; power system; short-term load forecasting;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new model of Fuzzy Neural Network(FNN) is presented for power system short-term load forecasting. This model can deal with the uncertain elements more efficiently. This paper also presents an Artificial Neural Network(ANN) based defuzzification method. Using this method can easily process defuzzification without regard to the complication of the fuzzification algorithm and get high accuracy of defuzzification.
引用
收藏
页码：131 / 134
页数：4
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