Analysis of Epidemic Prevention and Economic Operation Monitoring Based on Electric Power Big Data

ABSTRACT

Restoring economic development while strictly preventing and controlling the epidemic is the new challenge for the Chinese government under the normal state of COVID-19 epidemic prevention and control. This paper constructs an epidemic situation-population flow-consumption climate index model based on K-means clustering analysis algorithm. The model extracts the real-time and historical power consumption of residents, merchants and enterprises as the basic data, selects the epidemic information and user attributes as the classification parameters, applies k-means algorithm for cluster analysis, and finally obtains the relationship between consumption climate index and population flow index which reflects the government's monitoring strength. A case of delta COVID-19 in Hubei from August 1, 2021, to August 16, 2021, was analyzed. The analysis results show that the epidemic prevention and control effect is obvious, and population mobility is significantly reduced. © 2022 IEEE.