Research on power industry process knowledge mining based on artificial intelligence technology and its process optimization design
Qiugen Pei, Siqi Ye, Zhen Chen · 2025
In order to optimize the analysis results of the power industry and provide support for decision-making, the research and process optimization design of power industry process knowledge mining based on artificial intelligence technology are proposed. Through data acquisition technology, real-time data of all links in the power industry are obtained, including the whole chain data of power generation, transmission, distribution, and electricity consumption, and the original data are preliminarily screened and sorted by artificial intelligence technology to extract the characteristics of power industry process data; The transaction correlation matrix is constructed, the process knowledge mining steps of the power industry are designed, and artificial intelligence technology is used to optimize the mining, so as to obtain the best mining results and realize the process optimization design of power industry. The experimental results show that this method adopted by this paper can effectively explore the process knowledge data of power industry, and determine the optimal number of centers in the least iteration cycle, which shows efficient adaptability.