摘要
传统调度系统缺乏有效的预警机制,影响系统运行,为此提出基于多维度的数据挖掘技术在调度系统中的应用方法。首先,构建调度系统的数据库。其次,运用数据挖掘技术对数据进行处理和分析,为调度系统的事故预警提供重要的数据支持。最后,进行实验分析。实验结果表明,该方法具有较高的精准度,能够帮助相关人员更有效地执行电力调度方案。
The traditional scheduling system lacks an effective warning mechanism,which affects the operation of the system.Therefore,a multi-dimensional data mining technology based application method is proposed in the scheduling system.Firstly,build a database for the scheduling system.Secondly,using data mining techniques to process and analyze data provides important data support for accident warning in the scheduling system.Finally,conduct experimental analysis.The experimental results show that this method has high accuracy and can help relevant personnel execute power dispatch plans more effectively.
作者
陈锐
王明阳
郑凯文
明佳
顾业锐
CHEN Rui;WANG Mingyang;ZHENG Kaiwen;MING Jia;GU Yerui(Power Dispatching Control Center,Guizhou Power Grid Co.,Ltd.,Guiyang Guizhou 550002,China)
出处
《信息与电脑》
2024年第2期159-161,共3页
Information & Computer
关键词
多维度
数据挖掘技术
调度系统
系统管理
multi-dimensional
data mining technology
scheduling system
system management
