Concrete creep is one of the most important properties for concrete structures, especially prestressed concrete. Therefore, an accurate prediction of concrete creep is required for the design of the structures. Due to the limited time and economic condition, long-term creep is mostly predicted using parameter estimation of creep models based on the short-term experimental results. However, the prediction results are significantly different according to the model which is used for prediction. In this paper, improving method for creep prediction is presented to reduce the model uncertainties.