“…In the previous studies, many scholars have proposed many models to forecast the wind turbine capacity, including logistic model (Shafiee, 2015), autoregressive sliding average model (Jiang et al, 2012), time series analysis (Safari et al, 2018), support vector regression (Zendehboudi et al, 2018), neural network prediction model (Chang et al, 2017), combined forecasting model (Liu et al, 2018), grey machine learning (Ma, 2019;Wang et al, 2018b), and grey model (Wu et al, 2018c;Zeng et al, 2019). Among the many forecasting methods, the regression analysis method uses the indicators related to the wind turbine capacity to build the model, which requires lots of samples.…”