Intelligent Prediction of Power Grid Project Cost Based on PSO-BP Model

With the promotion of a new round of power system reform, the power grid project cost will develop towards the direction of lean management. With the increasingly complex construction environment and increasing investment scale of electric power grid engineering in China, the cost control of power grid projects will be directly related to the development level of smart grid in the future. Therefore, this paper proposes an intelligent forecasting model of electric power grid engineering cost based on PSO-BP algorithm, which improves the accuracy and efficiency of intelligent prediction of cost, and has the ability of popularization, which provides strong help for the future construction of smart grid.