Research on User Trading Strategy under Mengxi Power Market Environment Based on Decision Tree
This paper presents a research on user trading strategy in Munxi power market based on decision tree.This paper analyzes the factors that affect the user's trading decision,then constructs the user's trading power purchase decision model,and helps the user to determine the optimal trading strategy by calculating the income of each decision node.Finally,according to the decision tree algorithm,the user trading strategy is designed in the electricity market environment,and the user trading optimization is realized.The experimental results show that the transaction request rate of the proposed method is obviously better than that of the traditional method,and the transaction performance is better.