Time series prediction for icing process of overhead power transmission line based on BP neural networks

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.