The need for cleaner energy together with the abundant availability of wind has made the wind one of the important sources of renewable energies. The stochastic nature of wind causes high uncertainty of the wind energy instigating the wind energy managers to carefully forecast expected power to ensure its availability and customer satisfaction at affordable price. Aback-up was provided by attaching battery storage system to supply energy deficit. To determine optimal production and maintenance cost, we have developed models based on artificial neural network (ANN) and Theoretical method for power generation taking into account the production and storage costs as well as the maintenance cost.  The ANN model provided an optimal solution by providing minimal cost of production and maintenance costs.    The need for cleaner energy together with the abundant availability of wind has made the wind one of the important sources of renewable energies. The stochastic nature of wind causes high uncertainty of the wind energy instigating the wind energy managers to carefully forecast expected power to ensure its availability and customer satisfaction at affordable price. Aback-up was provided by attaching battery storage system to supply energy deficit. To determine optimal production and maintenance cost, we have developed models based on artificial neural network (ANN) and Theoretical method for power generation taking into account the production and storage costs as well as the maintenance cost.  The ANN model provided an optimal solution by providing minimal cost of production and maintenance costs.