Time series forecasting competition with computational intelligence methods

By | November 10, 2014

I recently became aware of a new forecasting competition: “International Forecasting Competition – Computational Intelligence in Forecasting”. The competition involves forecasting 91 time series of annual, quarterly, monthly and daily sampling frequency of various lengths. Although the competition is focused on computational intelligence methods (incl. fuzzy method, artificial neural networks, evolutionary algorithms, decision & regression tress, support vector machines, hybrid approaches etc.) other forecasting methods are welcome as benchmarks.

Submission deadline for the forecasts is the 11th of January, 2015. The competition will be hosted as a special session in the upcoming ISFA/EUSFLAT 2015 conference. You can find more details on the competition’s website.

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