Abstract:The study of power load uncertainty is one of the important research directions of demand response uncertainty.The accurate and effective forecasting of electrical system load is a crucial prerequisite for ensuring the safe and stable operation of the power grid and the normal functioning of society.To enhance the accuracy of load forecasting,this study proposes the HI-Informer model for electric load forecasting,which combines historical inertia modeling with the Informer model using the least squares method.The experimental results demonstrate that the HI-Informer model excels in electric load forecasting.Its predictions closely match the actual observed values and successfully capture the trends and seasonal variations in electrical load.In contrast,other models exhibit noticeable errors in certain scenarios and fail to effectively capture the same characteristics.