Icing incidents on transmission lines may seriously impair power grid security

and we can guide the ice-resistant efforts effectively if the icing thickness on the transmission lines can be predicted. Therefore

we utilized a multi-variable grey model to predict the short-term icing thickness on transmission line. Its correctness and feasibility was verified by comparing with the test data. The comparison with traditional icing-increasing model was also carried out. The results reveal that the multi-variable grey model provide a new approach for short-term icing thickness prediction on the basis of lacking of historical test data of icing thickness; it also can predict even when the transmission line have not iced with the meteorological parameter from weather broadcast; its predictive effect is superior to that of traditional icing-increasing model. This model can be utilized to guide the ice-resistant work effectively at district of icing area and icing seasons.