【作者】 刘伟达；

【导师】 孟建良；

【作者基本信息】 华北电力大学（河北） ， 计算机应用技术， 2005， 硕士

【摘要】 目前,数据挖掘作为一种发现大量数据中潜在信息的数据分析方法和技术,己经成为各界关注的热点。电力企业信息化建设积累了大量历史数据,迫切需要利用数据挖掘技术研发分析决策系统,以解决供电企业运营管理中关键和突出的问题。本文分析了电力企业生产管理和决策支持系统现状,介绍了模型和模型库,对电力企业的重要性和决策支持系统理论进行了系统阐述,在此基础上,研究了电力生产决策支持系统,提出了电力生产决策支持系统的整体框架。重点讨论了决策树分类算法,同时对电力设备的分类、运行和维修的模型进行了研究与探讨,并建立了电力生产分析决策模型。更多还原

【Abstract】 Data mining, the analytical method and technique of finding potential information in large numbers of data, has become the focus in all fields. In the process of the informational construction of electric power industry, there are a great deal of historical data which cry for decision support system using technology of data mining,and it will be used to resolve the pivotal、extrusive question. This paper analyses current situation of electric power production management and decision support system, introduces model and model base, detailedly introduces the significance of electric power and the theory of decision support system (DSS). On the basis of this, this paper research on electric power production Decision Support System, and have prompted entire framework of electric power production DSS. Primarily discuss the analytic arithmetic of the decision tree, the paper researches on the classifying, running circumstances and repairing type model of the electric power equipment, at the same time we try to set up decision model.更多还原