Overhead transmission line icing prediction model and method

The invention discloses an overhead transmission line icing prediction model and method, and the model is constructed through the following steps of 1, obtaining the icing related data from a line online monitoring system, and screening and processing the obtained data; 2, establishing and training a time sequence convolutional neural network model, wherein the model is used for predicting the icing factors; and 3, establishing and training a support vector regression model which is used for establishing mapping between the icing factors and the icing thickness, and the sequential convolutional neural network model and the support vector regression model jointly form an overhead transmission line icing prediction model. The icing prediction can be performed by using the established models.