Time Series Prediction for Icing Process of Overhead Power Transmission Line Based on BP Neural Networks

摘要：

Monitoring and prediction icing load of overhead power transmission lines are important problems for the reliability of power grid.A method based on BP neural networks is presented here to predict the time series of icing load for transmission line,which is complexity,nonlinear and fitful,not easy to find the mechanism model for prediction.According to the results of simulation,this model has a good accuracy of prediction whether in the same icing process or in the different.

作者: LI Peng LI Qimao CAO Min GAO Shangfei HUANG Haiyan

作者单位: School of Information Science and Engineering,Yunnan University,Kunming 650091,P.R.China Yunnan Electric Power Research Institute,Kunming 650051,P.R.China School of Urban Construction and Management,Yunnan University,Kunming 650091,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）