An immune system inspired clustering and classification method to detect critical areas in electrical power networks

Identifying critical, failure prone areas in a power system network are often a difficult and computationally intensive task. Artificial Immune System (AIS) algorithms have been shown to be capable of generalization and learning to identify previously unseen patterns. In this paper, a method is deve...

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Veröffentlicht in:	Natural computing 2011-03, Vol.10 (1), p.305-333
Hauptverfasser:	Woolley, N. C., Milanović, J. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Complex Systems Computer Science Electric power Electric power lines Electricity distribution Evolutionary Biology Immune system Processor Architectures Theory of Computation
Online-Zugang:	Volltext
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