Research on power purchase recommendation Algorithm based on user collaborative filtering

After the power purchasing and selling market is liberalized, the power purchasing party and the power selling party can realize power trading through bilateral negotiation. However, how big power users can find suitable trading objects from various electricity sellers is a subject to be studied. Centering on the problem of power purchase recommendation under the circumstance of information overload in the process of direct power purchase by large users, this paper studies the key technology of the recommendation algorithm, the recommendation algorithm based on user collaborative filtering and its application, etc., and verifies the rationality of the above algorithm after the analysis of calculation examples.