Optimization of Human Resource Management in Power Grid Enterprises Based on Markov Model

In today’s society, the talent market is unprecedentedly open, human resources are highly circulated, and frequent job-hopping of employees has become an important factor restricting the development of enterprises. Human resources are the foundation of enterprise development, and the flow of talents will have a certain impact on the enterprise. It is very necessary to predict and analyze the human resources of the enterprise scientifically and reasonably. The forecasting method of human resources supply based on Markov model is a dynamic forecasting technology, and its basic idea is to predict the trend of future personnel changes according to the law of enterprise human resources changes. The method adopted in this paper is Markov model, which constructs the transfer matrix according to the data of personnel flow in the past time period, as the basis of prediction. Through the statistics of personnel changes over the years, the annual transfer probability among all kinds of personnel is obtained, and then the average number is modified to be the final transfer probability among all kinds of personnel. The research in this paper shows that the prediction and analysis results of human resources by this algorithm are ideal.