Application of Data Mining in the Settlement Management of Distribution Network Projects. (27th February 2022)

• Record Type: Journal Article
• Authors: Chen, Weiting; Zhuang, Shaojing; Lin, Jia; Huang, Shuanglan; Sheng, Lijian; Cai, Yuming; Wang, Qingdong
• Other Names: Zhong Joni Academic Editor.
• Is Part Of: Security and communication networks. Volume 2022(2022)
• Publication Date: 2022-02-27
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2022/2864208
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : With the development of intelligent technology, the distribution network has also ushered in a new round of upgrading and transformation. New technologies, equipment, and platforms will be introduced to bring innovative blood to the distribution network. This paper proposes a data mining settlement management method for distribution network projects. The improved K-means method is used to estimate the coefficients of each link of the project investment. When a large deviation of a certain coefficient is found, the investment adjustment is made immediately to avoid the overall investment. This method can save costs for infrastructure construction, through the data mining deeper, can form a standard, intelligent analysis method, realize based data acquisition to the output results from the application of rapid transformation, realize the material equipment price forecast and project construction cost and fast estimation, provide project decision-making more scientific and accurate, and make the whole process of project cost more accurate.