Application of Statistics and Big Data Thinking in Identificating Electricity Theft
In view of the practical problem low utilization rate of user power load data and extreme imbalance of samples which leads to inaccurate identification of power theft users,the present study aims to guide historical power load data mining from the perspective of statistics and Big data thinking,and proposes a power theft identification feature sets.
electricity theft identificationstatistics and big data thinkingelectricity theft identification feature set
NETL
NSTL
万方数据
