In this paper, long-term wind power generation forecasting is accomplished using five different types of machine learning (ML) algorithms. Various forecasting. . A wind power forecast corresponds to an estimate of the expected production of one or more wind turbines (referred to as a wind farm) in the near future, up to a year. [1] Forecast are usually expressed in terms of the available power of the wind farm, occasionally in units of energy [citation. . However, wind power is an intermittent renewable resource, and accurate forecasting of wind power generation is essential to grid management. Improving the predictability of wind power generation is challenging for many reasons, one of which is a lack of empirical data, which are proprietary and. . How to predict wind farm power generation e tmosphere and the control strategy of each turbine.
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