摘要
针对电厂运行分析的实际需要,基于数据挖掘技术建立了定量关联规则的数据挖掘算法模型,编制了可用于实时数据分析的应用系统。给出了确定机组最佳运行参数以及评价运行水平等电厂运行数据分析的应用示例,表明数据挖掘方法可以在监控信息系统(SIS)中广泛用于机组运行分析与优化。
According to the requirements of operating analysis of thermal power units, a model based on the data mining algorithm for the quantitative association rule is presented and an application system for real-time data analysis is programmed. The data mining model is applied to determining the optimal operating parameters and evaluating the operation level of units by extracting information from the real-time operation database. The result of a sample is provided to show that the proposed data-mining software may be widely used for optimization and analysis of units operation in the supervisory information system (SIS).
出处
《电力系统自动化》
EI
CSCD
北大核心
2004年第8期76-79,共4页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50376011)
江苏省自然科学基金资助项目(BK2001005)
东南大学预研基金资助项目(XJ030306)
关键词
数据挖掘
发电厂
监控信息系统
data mining
power plant
supervisory information system(SIS)
