Wind Power Forecasting Model Based on Extreme Learning Machine and Time series

Faced with current energy challenges, renewable energies designate a set of means of producing energy from resources such as wind which is unlimited on a human scale. But its intermittent nature obliges us to make the power prediction. In this paper, we present a model for wind speed prediction using the Extreme Learning Machine algorithm to assess the wind power produced by wind turbines. This approach aims to avoid the mathematical calculation formulas to resolve uncertainties in the system. The results obtained show that the proposed method is better compared to other methods proposed in the literature.