Analysis and Research on Enterprise Resumption of Work and Production Based on K-means Clustering
Wang Peiyi, Longfei Ma, Xianglong Li, Lu Zhang, Qin Hao, Yao Bin, Yifeng Ding · 2021
In response to the impact of the Novel coronavirus infection in 2020, State Grid Corporation has introduced 12 important measures to fully promote enterprises to resume work and production. The evaluation method based on the ratio of user's current daily electricity consumption to the average electricity consumption of December 2019 is straightforward and effective, but difficult to scientifically defining the judgment threshold. In view of the problem of lacking rationality in the evaluation of resumption of work and production, this project deeply analyzes the current enterprise resumption index, then further proposes a K-means clustering analysis method. By extracting power consumption data of enterprises, characteristic indexes reflecting their production shutdown, resumption and peak periods are established. K-means clustering algorithm is applied to cluster characteristic samples, accurately analyzing the resumption situation of enterprises consequently, which helps improve the accuracy of the evaluation on resumption of work and production and achieve significant management, economic and social benefits.