Summary of Data Mining Research on Technical and Economic Information of Power Grid Construction Project

Technical and economic review of power grid construction project is a key link in power grid project construction. In order to reduce the subjectivity of evaluation and enhance the reliability of evaluation in the technical and economic review of power grid projects, it is necessary to fully summarize historical experience and mine data information. From this point of view, this paper summarizes the data mining technology and its research and application in the technical and economic evaluation of power grid projects and related fields. According to the characteristics of information flow and informatization in the process of technical and economic review, the data mining process is divided into four layers: data processing layer, method processing layer, business function layer and application layer. In these four layers, data acquisition, processing and storage technologies in the data processing layer, data mining algorithms in the method processing layer, business function implementation methods in the business function layer and application scenarios in the application layer are reviewed respectively. Through the above hierarchical analysis and research, this paper systematically shows the research of data mining technology in the technical and economic evaluation of power grid projects, which contributes to realize the value-added service of existing data, and improve the intelligence of the technical and economic review of power grid projects on this basis.