Research on Electricity Demand Prediction and Evaluation System of Electricity Purchasing Agency Business Based on Intelligent Algorithms
The current power market in our country is still undergoing reform,and the prediction accuracy of electricity purchasing agency of power enterprise plays a critical role in market resource allocation.To ensure the stable development of electricity purchasing agency mechanism,it is necessary to make clear the market-oriented purchase scale of power enterprises.At present,the amount of electricity by purchasing agency is mainly predicted based on the electricity consumption of industrial and commercial users and typical load curves.There is a lack of a complete system,and it is difficult to predict accurately,resulting in a lack of reasonable planning.Therefore,a set of intelligent algorithms combining monthly prediction algorithm for similar days with hybrid time-series monthly prediction algorithm is proposed for electricity demand prediction and evaluation of electricity purchasing agency business.The power consumption in Jiangsu Province in 2022 is predicted and analyzed to support power enterprises accurately predict the overall electricity sales scale and plan power purchase plans reasonably.
intelligent algorithmsmonthly prediction algorithm for similar dayshybrid time-series monthly prediction algorithmelectricity purchasing agencyelectricity demand prediction
万方数据
维普
