Research on Online Data Forecasting Method of Power Supply Chain

Material demand forecast management of electric power company is an important part of material planning management. As the front end of supply chain management, material planning management is the foundation of material supply guarantee. At the same time, with the gradual deepening of China’s electric power system reform, a series of reform measures such as separation of government and enterprise, separation of power plant and network, separation of main and auxiliary, etc. have further weakened the monopoly nature of the electric power industry, gradually introduced market competition factors, and the overall industry environment has become increasingly market-oriented and competitive. However, the characteristics of power grid enterprises, such as huge system, complex business and asset intensive, have brought certain difficulties to the management of power grid material supply chain. It is urgent to strengthen the collection, sharing and management of information in the process of power grid material management. Therefore, the research on the collaborative management of power grid material supply chain based on the Internet of Things is particularly important. By defining the user needs and functional requirements of the system, drawing the demand forecasting business flow chart and data flow chart, the overall design of the demand forecasting management system of SCP Electric Power Company is carried out, and the system functional modules are defined as follows: forecasting task management, demand forecasting algorithm management, and forecasting result application management.