电力系统及其自动化学报2011，Vol.23Issue(2)：157-160,4.
小波神经网络预测电价的新改进
Electricity Price Forecasting Using Wavelet Neural Networks Optimized by GA
摘要
Abstract
Forecasting the future electricity price is very important for every participators in the power market.This paper analyses the advantages and disadvantages of BP neural networks, then provides a wavelet-improved neural network model base on wavelet analysis and the topology structure and weight coefficient optimized by GA. Application to the real system shows that this model can improve the forecasting precision and avoid the limitation of the BP neural networks.关键词
电价预测/BP神经网络/小波变换/遗传算法Key words
electricity price forecasting/ back propagation network/ wavelet transform/ genetic algorithm分类
信息技术与安全科学引用本文复制引用
涂启玉,张茂林..小波神经网络预测电价的新改进[J].电力系统及其自动化学报,2011,23(2):157-160,4.
