Smart grid load forecasting of gray model with optimization of weight function

Smart grid has advantages such as strong, interactive, economic, compatible, self-healing etc., and short-term load forecasting has very good security for the normal operation of the smart grid system. According to the demand of the smart grid load forecasting, a gray forecasting model is put forward based on the weight function optimization. First, advantages and disadvantages of four gray whitenization weight functions of the gray forecasting model are analyzed, and then using the cut-off points of index value range, the membership degree of subclass is stipulated. In addition, comprehensive clustering weights are distributed. Finally, the smart grid load forecasting model of the gray system is built based on weighting function optimization. Simulations show that, compared with the traditional gray prediction model, the proposed smart grid load forecasting model has higher accuracy.