Article (Scientific journals)
Machine-learning approaches to power-system security assessment
Wehenkel, Louis
1997In IEEE Expert, 12 (5), p. 60-72
Peer reviewed
 

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Abstract :
[en] The paper discusses a framework that uses machine learning and other automatic-learning methods to assess power-system security. The framework exploits simulation models in parallel to screen diverse simulation scenarios of a system, yielding a large database. Using data mining techniques, the framework extracts synthetic information about the simulated system's main features from this database
Disciplines :
Computer science
Author, co-author :
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Machine-learning approaches to power-system security assessment
Publication date :
September 1997
Journal title :
IEEE Expert
ISSN :
0885-9000
Publisher :
IEEE
Volume :
12
Issue :
5
Pages :
60-72
Peer reviewed :
Peer reviewed
Available on ORBi :
since 17 December 2010

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