摘要
信息技术得到了空前的发展,电力数据呈指数规模增长,数据挖掘扮演着越来越重要的角色。主要介绍了数据挖掘的交叉产业标准及数据挖掘的主要方法。结合电力行业可获得的数据,分析了数据挖掘在电力系统内部在电网设施建设规划、动态安全评估、电力负荷预测、电力系统故障诊断及优调度选择等方面的应用,同时分析了数据挖掘在支撑智慧城市发展过程中各行业的应用,为城市发展提供助力。
With an unprecedented development of info-technology, the power data has an exponential increasing, and the data mining （DM） plays a very important role in this process. The CRISP-DM and its primary approaches were presented. Combined with the power industry data, the applications of grid facilities construction planning, dynamic security assessment, power load forecasting, power system fault diagnosis and optimal scheduling options with the power system were analyzed, and then the applications in some other industries were also analyzed, supporting the development of the city.
出处
《电信科学》
北大核心
2013年第11期127-130,共4页
Telecommunications Science
关键词
电力系统
数据挖掘
应用
power system, data mining, application
