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模糊神经网络在电力短期负荷预测中的应用
引用本文:姜飞,龙子泉,林峰.模糊神经网络在电力短期负荷预测中的应用[J].自动化技术与应用,2003,22(8):23-26,45.
作者姓名:姜飞  龙子泉  林峰
作者单位:1. 武汉大学,商学院,武汉,430072
2. 中南电力设计院,武汉,430071
摘    要:提出用于电力短期负荷预测(SILF)的一种模糊神经网络(FNN)方法,该方法针对BP网络收敛速度慢、易导致局部极小值的缺点,将考虑气候、温度、星期类型等影响因素的模糊技术与快速二阶BP网络相结合,并以南方电网负荷预测为例,应用MATLAB蚀语言对系统进行仿真训练,测试结果表明,该方法具有较高的预测精度。

关 键 词:电力系统  短期负荷预测  模糊神经网络  模糊预测法  组合预测法  电网
文章编号:1003-7241(2003)08-0023-05

Application of Fuzzy Neural Network to Power System Short-Term Load Forecast
JIANG Fei,LONG Zi-quan,LIN Feng.Application of Fuzzy Neural Network to Power System Short-Term Load Forecast[J].Techniques of Automation and Applications,2003,22(8):23-26,45.
Authors:JIANG Fei  LONG Zi-quan  LIN Feng
Affiliation:JIANG Fei1,LONG Zi-quan1,LIN Feng2
Abstract:The fuzzy neural network used for power system short-term load forecasting is put forward.This method aims at overcoming the shortcomings of BP neural networks such as slow convergence and local minimization and working with fuzzy technology which take the weather,the temperature and the day type into account.To demonstrate the effectiveness of the proposed approach,short-term load forecasting is performed on the south power system with the help of MATLAB.The result shows the efficiency and accuracy of the proposed method.
Keywords:Short-term load forecasting  Membership function  Fast second order BP neural network
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