Prediction of Gas Consumption in Transportation Based on Grey System Theory

ZHANG Yanjun, LIU Qun, Zhang Yongjin, ZHANG Shanwen

gasoline consumption, grey system theory, prediction model, transportation.

Prediction of gasoline consumption in transportation accurately has important reference value for the scientific planning and decision making on the energy needs and environmental protection. For the lack of historical data of gasoline consumption in transportation, a grey gas consumption prediction model is built based on grey system modeling and the analysis of degree of grey incidence and residual. Contrastive analysis of specific value of the variance and small error probability of a case study with accuracy grades indicated that the gray gas consumption prediction model is fitting precisely and reliable.