Aiming at the problems of high data quality requirements and high physical structure dependence that occur in traditional methods for calculating theoretical line loss rate of low-voltage station area, the article proposes a method for calculating theoretical line loss of low-voltage station area based on integrated learning of RVM classifiers with QPSO optimization. Considering various factors such as network structure parameters of LV station area, station area operation mode, electricity load level, etc., a characteristic index system of influencing factors is formed, and then the classifiers are further fused through multiple integrated strategies to obtain the required model. Meanwhile, the influence law of typical important factors on theoretical line loss is analyzed and studied on this basis. The results show that the algorithm has good reliability and stability, and can realize the analysis of the influence law of different factors on the theoretical line loss of the station area, and can further support the horizontal comparison of the influence degree of different factors, which can provide directional guidance for the abnormal management of line loss of the station area.