Optimization models based on GM (1, 1) and seasonal fluctuation for electricity demand forecasting

► Two new forecasting models are proposed for electricity demand forecasting. ► Four error measures are used for model evaluation. ► An adaptive parameter learning mechanism is introduced to optimize the model. ► Both of the numerical and graphic results are provided to validate the model.