基于数据挖掘的电力交易合规风险自动监测系统  

Automatic Monitoring System of Power Transaction Compliance Risk Based on Data Mining

作　　者：张一晨 易炳星 王天峰 曹瑞林 程方亮 ZHANG Yichen;YI Bingxing;WANG Tianfeng;CAO Ruilin;CHENG Fangliang(Xinjiang Electric Power Trading Center Co.,Ltd.,Urumqi,Xinjiang 830046,China)

机构地区：[1]新疆电力交易中心有限公司,新疆乌鲁木齐830046

出　　处：《自动化应用》2025年第5期215-216,221,共3页Automation Application

摘　　要：自动化监控可减少人工干预,降低人为错误,为此研究基于数据挖掘的电力交易合规风险自动监测系统。硬件系统配备高性能的数据采集和存储设备,以确保对大量电力数据的准确处理。软件方面通过数据挖掘技术处理电力交易数据,识别异常交易和潜在风险点。建立电力交易合规风险自动监测模型进行监测,并自动预警潜在的合规风险。根据风险发生的概率和潜在影响,对风险进行评定。系统测试表明,电力交易合规风险自动监测系统在不同条件下均展现出稳定性与良好的吞吐量性能,所有测试均合格。Automated monitoring can reduce manual intervention and minimize human errors.Therefore,a data mining based power transaction compliance risk automatic monitoring system is being studied.The hardware system is equipped with highperformance data acquisition and storage devices to ensure accurate processing of large amounts of power data.In terms of software,data mining techniques are used to process electricity trading data,identify abnormal transactions,and potential risk points.Establish an automatic monitoring model for compliance risks in electricity trading to monitor and automatically alert potential compliance risks.Assess risks based on their probability of occurrence and potential impact.System testing shows that the automatic monitoring system for compliance risks in electricity trading exhibits stability and good throughput performance under different conditions,and all tests are qualified.

关 键 词：数据挖掘 电力交易合规风险 自动监测 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]