Forecasting the installed wind capacity using a new information priority accumulated nonlinear grey Bernoulli model

Wind energy is an important renewable and clean energy, and the accurate realization of the prediction of the installed wind capacity is urgent and should not be delayed. This paper proposes a novel new information priority accumulated nonlinear grey Bernoulli model and applies it to forecast the installed wind capacity in Europe and South America. The nonlinear parameters of the proposed model are optimized by the Grasshopper Optimization Algorithm. In the application case, the model our proposed has a more satisfactory predictive performance by comparing it with other three classical models.