Prediction model research of reasonable line loss for transformer district based on data mining technology
Zou Yun-fen · Power Demand Side Management · 2015
The forecast of reasonable line loss is the prerequi-site for lean management of transformer district. Therefore, the re-search status of transformer district line loss and correlative datamining technology is studied in this paper. On the basis of that, aprediction method and algorithm flow for reasonable line loss isproposed. Firstly, transformer district data is classified accordingto district characteristic by K-means. Secondly, linear regressionmodels are established separately using the characteristic data ineach class. Lastly, forecasting of line loss rate and error analysisare executed by these regression models. The applicability, rapidi-ty and convenience of this method have been verified by data calcu-lation using actual power consumption data.