摘要
基于数据挖掘技术,采用跨行业数据挖掘过程标准(CRISP-DM)的6个阶段,架构电力决策支持系统的数据挖掘过程.同时,针对电力决策支持的不同应用领域,如安全稳定性评估、电力负荷预测、电力系统故障分析和电力营销策略支持等,选取合适的数据挖掘算法进行应用分析.
Based on the data mining technology,the cross-industry data mining process（CRISP-DM） is utilized to establish the data mining process of the decision support system of electric power.In addition,different proper data mining algorithms are adopted and analyzed in several application fields of the decision support system of electric power,including the evaluation of safety stability,forecast of electric power loads,fault analysis of electric power and the marketing strategy support of electric power.
出处
《上海电力学院学报》
CAS
2010年第4期374-378,共5页
Journal of Shanghai University of Electric Power
基金
上海市高校选拔培养优秀青年教师科研专项基金(sdl09013)
关键词
数据挖掘
电力系统
决策支持
算法
data mining
electric power system
decision-making support
algorithm
