期刊文献+

数据挖掘在电力系统中的应用综述 被引量:31

Survey on applications of data mining in power system
下载PDF
导出
摘要 电力系统各种数据现已呈现爆炸性增长态势,数据挖掘技术将会扮演越来越重要的角色.主要介绍数据挖掘技术及其相关的应用,以及数据挖掘的交叉产业标准(CRISP-DM)和主要方法.结合电力系统的自身特点,分析数据挖掘在电力系统当前的主要应用动态及应用前景.  Power systems are currently facing an explosive growth of data.Data mining(DM) technology plays an important role to obtain more and underlying rules or knowledge from database.Techniques and applications of DM are presented in the paper,cross industry standard process date mining(CRISPDM) and primary approaches are described in detail.Overview of DM applications in power system are analyzed.Trends of their applications are also presented finally.
出处 《电力科学与技术学报》 CAS 2007年第3期51-56,共6页 Journal of Electric Power Science And Technology
基金 高等学校博士学科点专项科研基金资助(20060294019)
关键词 数据挖掘 CRISP-DM模型 电力系统 data mining CRISP-DM power system
  • 相关文献

参考文献35

  • 1[1]Han J W,Kamber M.Data mining concepts and techniques[M].Canada:Morgan Kaufmann Publishers,2006.
  • 2[2]Verdu S V,Garcia M O,Senabre C,et al.Classification,filtering and identification of electrical customer load patterns through the use of self-organizing maps[J].IEEE Transactions on Power Systems,2006,21(4):1672-1682.
  • 3[3]Sforna M.Data mining in a power company customer database[ J].Electric Power Systems Reasearch,2000,55(3):201-209.
  • 4[4]Roiger R J,Geatz M W.数据挖掘教程[M].翁敬农,译.北京:清华大学出版社,2003.
  • 5王光宏,蒋平.数据挖掘综述[J].同济大学学报(自然科学版),2004,32(2):246-252. 被引量:261
  • 6方骏,方云,肖杰.数据挖掘的工业标准的现状和展望[J].计算机应用研究,2004,21(6):8-10. 被引量:6
  • 7[7]Olaru C,Geurts P,Wehenkel L.Data mining tools and applications in power system engineering[C].Proceedings of the 13th Power System Computation Conference,Trondheim,Novway,1999.
  • 8[8]Quinlan J R.Induction of decision trees[J].Machine Learning,1986,1 (1):81-106.
  • 9[9]Garcez R,Miranda V.Knowledge discovery in neural networks with application to transformer failure diagnosis[ J ].IEEE Transactions on Power Systems,2005,20(2):717-724.
  • 10束洪春,孙向飞,于继来.粗糙集理论在电力系统中的应用[J].电力系统自动化,2004,28(3):90-95. 被引量:52

二级参考文献196

共引文献1017

同被引文献161

引证文献31

二级引证文献270

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部