基于数据挖掘的电力系统异常数据捕获系统
A Power System Anomaly Data Capture System Based on Data Mining
蔡莹乾 1刘伟 2文莉雅1
作者信息
- 1. 国网郑州供电公司,河南郑州 450000
- 2. 郑州供电公司,河南郑州 450000
- 折叠
摘要
为提高异常检测的准确性和效率,文章设计了基于数据挖掘的电力系统异常数据捕获系统.该系统利用数据挖掘技术对电力系统中的海量数据进行处理和分析,能够提高异常检测的准确性和效率.仿真结果表明,该系统在异常检测的准确性和实时性方面表现优秀,为电力系统的监控和管理提供了有力支持.
Abstract
To improve the accuracy and efficiency of anomaly detection,the article designs a power system anomaly data capture system based on data mining.This system utilizes data mining technology to process and analyze massive amounts of data in the power system,which can improve the accuracy and efficiency of anomaly detection.The simulation results show that the system performs well in terms of accuracy and real-time performance in anomaly detection,providing strong support for the monitoring and management of the power system.
关键词
数据挖掘/电力系统/异常数据/异常检测Key words
data mining/power systems/anomalous data/anomaly detection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据