Input data analysis for the thermal rating prediction of the overhead conductor

Abstract The thermal rating of the overhead conductor is closely related to meteorological factors such as wind speed, wind direction, ambient temperature and solar radiation. Therefore, both the historical thermal ratings and meteorological data are alternative input data to predict the thermal rating of the overhead conductor. It is important to select suitable input data to improve the prediction accuracy of the prediction results. Based on the collection of micro-meteorological data from overhead line monitoring system, this paper presents a method to determine the input data for the thermal rating prediction by analysing the autocorrelation of overhead thermal ratings and the cross-correlation between thermal rating and historical micrometeorological data. The results show that the proposed method can provide reference information for the selection of predictive input quantities and prediction time domain.