摘要
在市场经济发展中,电力需求越来越大,电力企业发展速度加快,需要对运行数据深度挖掘,使用决策树分类算法对数据深度分析,可为电力企业管理层提供有效的决策支持。文章通过对决策树分类算法进行研究,明确了决策树分类算法在电力营销中的应用过程,结合试验结果与分析,充分说明决策树分类算法在电力营销中有着重要价值,为电力营销工作提供了参考。
In the development of market economy,the demand for electricity is increasing,the development speed of electric power enterprises is faster,and it is more necessary to dig the operational data deeply.The decision tree classification algorithm is proposed to analyze the data deeply,so as to provide effective decision support for the management of electric power enterprises.This paper expounds the decision tree classification algorithm,and clarifies the application process of decision tree classification algorithm in power marketing.Combined with the experimental results and analysis,it fully demonstrates the important value of decision tree classification algorithm in power marketing,and provides a reference for power marketing.
作者
金诗琦
夏江南
JIN Shiqi;XIA Jiangnan
出处
《电力系统装备》
2023年第11期142-144,共3页
Electric Power System Equipment
关键词
决策树分类算法
电力营销
数据挖掘
信息熵
decision tree classification algorithm
electric power marketing
data mining
information entropy
