Research on the Equipment Demand Forecast Model of Electrical Engineering Based on the Weak Information of Power Grid Construction Projects

The unified management of the procurement demand is an important part of the company's intelligent material supply chain management, including the equipment selection. Due to the lack of information in the early stage of the project, further research is needed on how to transform the weak information in the early stage of the project into strong information that can guide the material planning and purchase list. This paper aims to predict the equipment selection under weak information of power grid construction project by selecting core equipment based on ABC inventory method, constructing projects-equipment multidimensional heterogeneous interactive network and building the prediction model with Graph Attention Networks (GATs). The cases showed that the research can be used to support the material department of the company to carry out equipment demand forecasting and and scientifically select procurement strategies for electrical engineering.