Timely and accurate demand forecasting for electricity users is the foundation for effective operation of the electricity market,energy conservation and emission reduction efforts by users,and the implementation of the “dual carbon” task. However,there are some problems in traditional teaching methods for electricity demand forecasting,such as difficulties in obtaining data and large data volumes,and cumbersome calculation processes for demand forecasting leading to hard verification of trial and error. To address these issues,a virtual simulation experiment for electricity demand forecasting has been independently developed. This experiment builds a virtual experimental scenario based on real-world data from electricity users,follows the actual business processes of power sales companies,and highly simulates electricity demand forecasting activities. Through this experimental environment,students can intuitively experience,repeatedly try and correct,and conduct practical verification,thereby achieving the teaching objectives of method exploration and experience accumulation.