Data Processing in CPSS Platform based on Data Mining

Grid operators and electricity users constitute a typical cyber-physical-social system (CPSS). The multi-energy coupling at the physical level of the system, the complexity and unpredictability of power user behavior at the social level, and the massive data at the information level have become the main features of the power grid CPSS. This paper aims to apply the decision tree algorithm to data processing in CPSS based on the research on data mining methods, and takes power data processing as an example under the CPSS platform, the grid interactive energy management method is studied to improve the renewable energy utilization rate and economic benefit of the grid.