ORBi: Wehenkel Louis - Machine Learning Approaches to Power System Security Assessment

Reference : Machine Learning Approaches to Power System Security Assessment


	Document type :	Dissertations and theses : Post doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/2268/81333

Title :	Machine Learning Approaches to Power System Security Assessment
Language :	English
Author, co-author :	Wehenkel, Louis [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	Oct-1994
Institution :	University of Liege
Name of the degree :	Agrégation de l'enseignement supérieur
Page number :	400
City :	Liege
Country :	Belgium
Superviser :	Pavella, Mania
President of the jury :	Ribbens, Daniel
Member of the jury :	Bornard, Pierre
	Cantraine, Guy
	Corry, Brian
	Dy Liacco, Tom
	Legros, Willy
	Poncelet, Robert
	Roubens, Marc
	Willems, Jacques
Keywords :	[en] Power systems ; Machine learning ; Security assessment
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/81333

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Open access	Agregation-Thesis-LW.pdf		Author postprint	1.93 MB	View/Open

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