Combination forecasting model of equipment and material prices for power grid production technological transformation projects based on unary linear regression and grey theory

Abstract

Abstract The purchase cost of equipment and materials occupies a large proportion in the cost of power grid production technological transformation projects, and has a greater impact on project cost control. Therefore, strengthening the management of equipment and material price forecasts and improving the scientificity and accuracy of forecasting methods are important for improving production technology. It is of great significance to improve the cost management of the whole process of the project and improve the lean management level of the investment of power grid enterprises. In this paper, combined with the current situation of equipment and material price forecasting for the production technological transformation projects of power grid enterprises, a combination forecasting model based on unary linear regression and gray theory is constructed, and the validity of the model is verified through empirical analysis.