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应用小波神经网络进行负荷预测的MATLAB编程仿真
引用本文:罗枚,周灌中,司昌练.应用小波神经网络进行负荷预测的MATLAB编程仿真[J].航空计算技术,2012(3):18-19,25.
作者姓名:罗枚  周灌中  司昌练
作者单位:[1]陕西工业职业技术学院数控工程学院,陕西咸阳712000 [2]西安电子科技大学智能感知与图像理解教育部重点实验室,陕西西安710071 [3]青岛港湾职业技术学院,山东青岛266404
基金项目:国家自然科学基金项目资助(61001202)
摘    要:以咸阳地区的电力负荷数据为背景,应用小波神经网络进行短期负荷预测工作,并详细介绍了其MATLAB的编程与仿真。利用MATLAB 7.0的神经网络及小波工具箱函数进行编程仿真,不仅编程简洁,而且收敛速度快。因需要大量的训练数据进行训练,介绍了在实际编程时所用技巧。

关 键 词:短期负荷预测  小波神经网络  MATLAB

Programming and Simulation of Load Forecasting Using WNN with MATLAB
LUO Mei,ZHOU Guan-zhong,SI Chang-lian.Programming and Simulation of Load Forecasting Using WNN with MATLAB[J].Aeronautical Computer Technique,2012(3):18-19,25.
Authors:LUO Mei  ZHOU Guan-zhong  SI Chang-lian
Institution:LUO Mei, ZHOU Guan- zhong , SI Chang- lian ( 1. Department of CNC, Shaanxi Polytechnic Institute, Xianyang 712000, China ; 2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China ,Xidian University, Xi'an 710071, China ; 3. Qingdao Harbor Vocational Technology College, Qingdao 266404, China)
Abstract:Based on the load data of Xianyang's area power system, a WNN model is established to carry out shortterm load forecasting work. The programming and simulation with MATLAB is also introduced in detail. Use of neural network and wavelet toolbox function of MATLAB 7.0 for programming and simulation makes programming simple and convergence fast. In practice, the programming skills are most important because a large number of data need to train in this case.
Keywords:shortterm load forecasting  WNN  MATLAB
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