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In this paper it is compared three time series forecasting techniques using an application case. This techniques are the Box-Jenkins method, as a classical statistical forecasting method and Artificial Neural Networks and Neo Fuzzy Neurons as emergent intelligent methods. For comparing the obtained performance for the different methods it have been calculated several comparing criteria, commonly used in forecasting statistical evaluation, for fitness and prediction phases.