Exploring of Related Issues of BP Algorithm In Load Forecasting

摘要：

In this paper,the establishment of the neural network model of forecasting short-term power load in an electric power grid is studied.Basing on the model,the BP algorithm for power load is explored.The research on BP network model includes determining the hidden layer number,hidden layer nodes number,training frequency and accuracy of learning rate.In this paper,we focus on that how to give initial weights, select training sample method of normalizing sample and so on.With more further qualitative and quantitative analysis,and through an actual example as comparative test,we have got useful conclusions.

关键词： Short-Term Load Forecasting Artificial neural network improved BP model algorithm

作者: Liu Wei

作者单位: East China Institute of Technology Fuzhou,Jiangxi,P. R. China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 71-74

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）