Abstract: For the actual cases of various forecasting problems, combining forecasting models may take different forms. But their forecasting efficiencies may be different for the different models. In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients. In final, we use this model to forecast air materiel consumption. And its efficiency is demonstrated by an example.

Key words: combining forecasting, air materiel consumption, generalized weighted functional mean, parameter estimation