Prediction of Oil Demand Based on Time Series Decomposition Method

Abstract

The forecast of oil demand in large oil depot is the main basis for the allocation of oil and distribution. The accurate and efficient real-time forecast of oil demand is an important guarantee for the effective management and rational use of oil. In this paper, the amount of oil in and out of large oil depots is abstracted into time series model, and the main factors influencing the time series are extracted by time series decomposition method. The calculation process and the changing rules of these factors are studied, and the forecasting model of oil demand of large oil depot is constructed. The example shows that the time series decomposition method can realize the effective forecast of large oil depot demand.