Heat Load Forecasting Based on Improved AGA-BP Non-linear Combined Model

被引：0
|
作者：
Ren Fene [1 ,2 ]
Liu Ying-zong [1 ]
Ding Chao [3 ]
机构：
[1] Tianjin Univ, Sch Business Adm, Tianjin 300072, Peoples R China
[2] North China Elect Power Univ, Sch Business Adm, Hanoi 071003, Vietnam
[3] Shijiazhuang univ Econom, Sch Management & Engn, Shijiazhuang 050031, Peoples R China
来源：
HIS 2009: 2009 NINTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, VOL 1, PROCEEDINGS | 2009年
关键词：
BP; AGA; Power Forecasting; GM(1,1); Combined Model;
D O I：
10.1109/HIS.2009.87
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new combined BP neural network model based on accelerating genetic algorithm is put forward in this paper. On the foundation of traditional BP neural network, this method is given better iteration values improved by accelerating genetic algorithm, thus and increase iteration rate and avoid sinking into local minimum. Then, it is applied to forecast the heat load in a certain area, and compared with other forecasting methods. The calculation sample shows the exactitude and efficiency of this combined forecasting model.
引用
收藏
页码：422 / +
页数：2
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