In view of the timesharing electricity power imbalance between supply and demand, lead to waste of resources and the peak season of power grid stress problem, is proposed in this paper, based on electric power demand response analysis under timesharing electricity price. Firstly, the behavior of electricity demand is analyzed, and the different components of the electricity price are divided into different components of the electricity price. The power users will also formulate the electricity measures according to the different prices of the three stages, combine other factors, and preliminarily put forward the influencing factors of the model of power demand response. Secondly, the improved support vector machine regression model (SVM) is proposed. The inside of the grid method is used to optimize the SVM δ and C operator, improve the forecast precision of SVM, the influencing factors on electric power demand side can be divided into the input and output factors, build the timesharing electricity price under the electric power demand response model based on SVM. Finally, an example simulation of the actual enterprise is carried out. As can be seen from MATLAB simulation results, the accuracy of the proposed method is very high. In the forecast of power consumption of power demand side at the time of separation of electricity price, it has high reliability and practicability. It provides a reliable theoretical basis for decisionmaking personnel to formulate reasonable supply and demand plan.