A Reliability Forecasting Method for Distribution Network Based on Data Mining

This paper presents a method for forecasting reliability of distribution network based on data mining technology and BP neural network. According to principal component analysis, the effect factors of distribution network big data are found. And a BP neural network model is established to forecast supply reliability of target year. The proposed method is illustrated using the data of a city distribution network in China for nearly 8 years.