Design of Power Load Management System and Performance Assessment Model Based on Markov Model

With population growth and industrial development, the demand for electricity is increasing year by year. How to accurately predict power load and meet power demand in a more efficient and environmentally friendly way has become a research focus in the field of power systems. This article explores the power load forecasting method based on Markov models, and combines it with the design of performance assessment models to demonstrate its application effect in real power systems. The results indicate that the power load forecasting method based on Markov model can accurately capture the temporal dependencies of power load data and make reliable predictions. Moreover, the algorithm in this article also has obvious advantages in operational efficiency, which can quickly provide prediction results and meet the real-time requirements of the power system. With the increasingly severe energy issues and the continuous expansion of the power system scale, accurate power load forecasting is of great significance for the planning, scheduling, and decision-making of the power system. The research results can provide strong support for the relevant fields of the power system, promote the intelligent and efficient development of the power system, and achieve sustainable energy utilization.