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基于决策树的蒙西电力市场环境下用户交易策略研究

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提出基于决策树的蒙西电力市场环境下用户交易策略研究.对影响用户交易决策的因素进行了分析,构建了用户交易购电决策模型,并通过计算各决策节点收益,帮助用户确定最优的交易策略.最后,根据决策树算法,对电力市场环境下用户交易策略进行了设计,实现了用户交易的优化.结果表明,该研究方法交易请求速率明显优于传统方法,交易性能测试方面表现较好.
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.

decision treeelectricity markettrading strategyenergy trading

王太伟

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内蒙古京能能源服务有限公司,内蒙古 呼和浩特 010000

决策树 电力市场 交易策略 能源交易

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(6)
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