Research of Cities’ Gas Load Predicting Model Based on Wavelet Neural Network

Abstract

Wavelet Neural Network (WNN) is a new neural network model based on wavelet analysis theory, which takes advantage of good localization of wavelet transform nature, and combines with neural networks’ self-learning function, thereby, it has strong approximation ability and can approach any nonlinear function. This paper using wavelet neural network constructing the city gas load forecasting of mathematical model, and the model parameters determination, and impact load forecasting of various factors of the in-depth analysis and discussion.