Method and system for predicting environmental meteorological data of power transmission line

The invention discloses a method and a system for predicting environmental meteorological data of a power transmission line. The invention relates to the technical field of meteorological model prediction. The technical problems that a traditional weather prediction method is poor in anti-noise capability and prone to data interference are solved. The method comprises steps of collecting environmental meteorological data of a power transmission line and weather forecast data of corresponding time; dividing the data into a training set and a test set; putting the training set into a TCN model combined with a weighted channel for training to obtain a weather prediction model; and then testing the meteorological prediction model by using the test set so as to adjust the hyper-parameter thetaof the meteorological prediction model, and then repeating model training until the meteorological prediction model converges or reaches the maximum number of iterations to obtain a final prediction model. The final prediction model obtained through the method is high in anti-noise capacity and not prone to being interfered by abnormal data, and finally obtained prediction data are more accurate compared with an existing model.