Abstract: In mountainous areas with changeable climate, the influence of weather on real-time line loss fluctuation is more serious, but the influence of meteorological factors on line loss is not fully considered in the current line loss management. Using the local outlier factor detection algorithm based on distance and density, an intelligent identification model of line loss anomalies in the station area considering meteorological factors is established to quickly and effectively identify the station areas susceptible to meteorological factors, and to evaluate the impact of abnormal weather on the daily line loss of the station area. Combined with real-time and forecast meteorological information, an early warning model for abnormal line loss in the station area is established.Taking a power supply company in a county with changeable weather as an example, the empirical analysis shows that the intelligent identification model of abnormal line loss in the station area considering meteorological factors can effectively identify the station area where line loss is susceptible to abnormal weather, which provides a basis for the line loss management in the district county power supply stations, and helps to improve the fine management of line loss in the station area.