新型人工神经网络在风速预测中的研究

Application of the New Type of Artificial Neural Networks in Wind Speed Prediction

提供准确的风速估计模型对电网的安全性、环境影响和经济效益起到非常重要的作用。针对风速预测提出了一种基于人工神经网络(ANN)智能数据处理系统的综合方案,该方案采用广义回归神经网络(GRNN)和Elman神经网络(ENN)形成的混合模型实现了数据去噪,并应用预处理的样本来预测风速。通过观测4个点月平均风速数据来测试模型并进行分析,表明用该方法提供月平均风速的估计是比较准确的。

It plays a very important impact for the grid on safety, environmental and economic that provides accurate velocity estimation model.This paper presents a comprehensive program to predict the wind speed based on the artificial neural network (ANN) intelligent data processing system.The method uses the hybrid model of generalized regression neural network (GRNN) and Elman neural network (ENN),which data de-noising and pretreatment sample to predict wind speed are achieved simply. Through four observation points to the monthly average wind speed data and conduct research to test the model, it provides monthly average wind speed is estimated to be very accurate.