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Data mining tools and application in power system engineering
Olaru, Cristina; Geurts, Pierre; Wehenkel, Louis
1999In Proceedings of the 13th Power System Computation Conference, PSCC99
Peer reviewed
 

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Keywords :
power systems; machine learning
Abstract :
[en] The power system field is presently facing an explosive growth of data. The data mining (DM) approach provides tools for making explicit some implicit subtle structure in data. Applying data mining to power system engineering is an iterative and interactive process, requiring an acquainted user with the application specifics. The paper describes data mining tools like statistical methos, visualization, machine learning and neural networks, exemplifying by results obtained with a DM software developed for dynamic security assessment studies. Power system engineering applications where data mining would be useful are reviewed in the second part of the paper.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Olaru, Cristina;  Université de Liège - ULiège > Dép. d'électricité, électronique et informatique > Systèmes et modélisation
Geurts, Pierre ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Data mining tools and application in power system engineering
Publication date :
1999
Event name :
13th Power System Computation Conference
Event place :
Trondheim, Norway
Event date :
1999
Audience :
International
Main work title :
Proceedings of the 13th Power System Computation Conference, PSCC99
Pages :
324-330
Peer reviewed :
Peer reviewed
Available on ORBi :
since 16 October 2009

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