基于小波神经网络法的短期风电功率预测方法研究

基于小波与BP神经网络,提出一种小波与BP神经网络结合的方法对短期风电负荷进行预测。运用小波能够精确地提取时间序列的细微特性和BP网络的输出反馈作为输入神经元数据增加了数据信息量的特点,构建了小波神经网络预测模型,经实际数据证明该方法提高了预测的精确性。

Short-term Forecasting for Wind Power System Based on Wavelet and BP Neural Networks

Based on wavelet and the BP neural network,a method of short-term wind power forecasting is presented in this paper.The forecasting model is provided by using the characteristics of wavelet which can decompose time series into any level and RBP network output feedback as input data which can increase information amount.A practical example proves that this method has higher forecasting accuracy in short-term power forecasting.