Dynamic Forecasting Method of Power Material Demand Based on Volterra Model
Aimed at the problems of large demand for power materials,wide variety,and larger error in forecasting power mate-rial demand,this research designs a power material demand forecasting system which is composed of three-layer structure of customer service,data center and cloud communication.The power material data information access of SQL Server database can realize the classification of historical data and existing data of power materials.The system uses mathematical models to calcu-late and quantitatively predict,and realizes real-time update of power material demand forecast.It uses STM32F103C8T6 mi-crocontroller and NFC tag to read the writing module to realize the adjustment of the inventory quantity of power materials in combination with the demand for power materials.Through experiments,the average error of power material demand forecast of the research power material demand forecasting system is 11％,and the dynamic forecasting error of power material demand is low.
power materialdemand forecastinventory managementsupply chainVolterra feedback forecasting algorithm
万方数据
维普
