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。
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.
出处
《航空计算技术》
2012年第3期18-19,25,共3页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(61001202)
