The invention belongs to the technical field of power
system data analysis, and relates to a power utilization
habit-based power utilization abnormal behavior real-time
analysis method and
system, and the method comprises the steps: obtaining a historical power utilization data sample of a charging
pile user, and carrying out the calculation to obtain a power
utilization behavior habit interval; acquiring real-time
power consumption data of the charging
pile user according to a preset period, judging whether the real-time
power consumption data is in the
power consumption behavior
habit interval, and if so, not giving an alarm; otherwise, giving an alarm; the advantages of wide coverage, high timeliness and high accuracy of power data are utilized, and the power utilization habit of the user is obtained through
data analysis. Real-time power utilization data and historical power utilization habits are compared, abnormal power utilization behaviors are recognized, abnormal power utilization alarms are given out, and a charging
pile operator is assisted in
effective management, prevention and control; maintenance and
upgrade plans of the charging piles are reasonably arranged, and
usability of the charging piles is ensured. An
electric power company can adjust an
electric power supply strategy in advance, optimizes a
power grid load, and avoids overlarge
power grid pressure caused by a charging peak.