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An Empirical Study on Exponential Smoothing and Seasonal Model

People put a lot of efforts studying systems with large amounts of data in the last a few decades. In some situations, people have some history data and want to use them to predict new coming data. People have proposed a lot of different models that can do data prediction. In this paper, we do some empirical comparison on two models, the seasonal model and the exponential smoothing. Both models have strengths and weaknesses. Our experimental results show that, in general, the seasonal model produces better results than the exponential model.