Load forecasting method for power users based on capacity constraints and historical data characteristics of connected equipment

The load of power users is varied and uncertain, and the behavior of power users is affected by many factors, which makes the load prediction difficult. Therefore, a load forecasting method for power users based on capacity constraints and historical data characteristics is proposed in this paper. Analyze the load of the installed capacity of the user and the installed capacity of the equipment in the distribution network. Under the capacity constraint of the installed equipment, the abnormal historical data is searched and corrected. Based on this, empirical mode decomposition (EMD) is used to forecast the load of power users. The experimental results show that the predicted value of power user side load obtained by the proposed method is basically consistent with the real value, and can effectively shorten the time of power user side load prediction.