An intelligent recommendation model for disclosure of electricity market entities based on association rule mining algorithm

• Published in: Electrical engineering Vol. 107; no. 10; pp. 13055 - 13068
• Main Author: Ji, Shijie
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025; Springer Nature B.V
• Subjects: Algorithms; Data mining; Economics and Management; Electrical Engineering; Electrical Machines and Networks; Energy Policy; Engineering; Original Paper; Power Electronics; Frequent itemsets; Minhash algorithm; Apriori algorithm; Association rule mining; Information recommendation; Power market players
• ISSN: 0948-7921; 1432-0487
• DOI: 10.1007/s00202-025-03194-5

Due to the complexity and diversity of the main information of the power market, it is difficult to collect it comprehensively, which affects the data quality, leading to the error of the association rule mining results, and then reducing the effectiveness of information disclosure. Therefore, an intelligent recommendation model for information disclosure of power market entities based on association rule mining algorithm is proposed. Based on the analysis of information composition, data mining and association rules of power market entities, an intelligent recommendation model for information disclosure of power market entities is constructed. This model collects basic data information of power market entities in multiple ways according to the characteristics of market entity types and information diversification; Minhash algorithm is used to clean the collected basic data and establish the power market subject information transaction database as the basic database for intelligent recommendation of power market subject information disclosure; the Apriori method is chosen as the algorithm for association rule mining, and an improvement on it is carried out. A weighted Apriori algorithm with the minimum support as an interval value is put forward. This algorithm is utilized to deeply explore the association relationship among market participants' information, and realize the intelligent recommendation of power market participants' information disclosure. The experiment shows that the model can effectively and accurately implement intelligent recommendation on the information disclosure of power market entities. According to the recommendation results, it can quickly find the problems existing in market entities, and has a good performance in the strategy hit rate.