RBF神经网络在燃气负荷预测的应用

Application of RBF Neural Network to Gas Load Forecasting

介绍RBF神经网络技术,提出一种基于RBF神经网络的燃气月负荷预测模型,实例预测取得了较好效果。探讨了数据归一化参数对负荷预测精度的影响。

The radial basis function （RBF） neural network technology is introduced. A gas load forecasting model based on RBF neural network is proposed, and a good forecasting effect is achieved. The influence of data normalization parameters on load forecasting accuracy is discussed.