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Power System Topology Identification Using Neural Networks, Part III – Unsupervised parts of the power system (CROSBI ID 483970)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Delimar, Marko ; Pavić, Ivica ; Hebel, Zdravko Power System Topology Identification Using Neural Networks, Part III – Unsupervised parts of the power system // Proceeding of the Seventh IASTED International Multi-Conference Power and Energy Sytems / Smedley, Keyue Ma (ur.). ACTA Press, 2003. str. 83-87-x

Podaci o odgovornosti

Delimar, Marko ; Pavić, Ivica ; Hebel, Zdravko

engleski

Power System Topology Identification Using Neural Networks, Part III – Unsupervised parts of the power system

This is the third part of the study on using neural networks in Power system topology identification. ... In this paper a multiplayer percepton neural network is used to help identify the state of an unsupervised part of the power system. The experiment is performed on a slightly modified IEEE 24-node network. The results are presented and discussed.

power system; topology recognition; neural networks; unsupervised parts of the power system

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Podaci o prilogu

83-87-x.

2003.

objavljeno

Podaci o matičnoj publikaciji

Proceeding of the Seventh IASTED International Multi-Conference Power and Energy Sytems

Smedley, Keyue Ma

ACTA Press

Podaci o skupu

Seventh IASTED International Multi-Conference Power and Energy Sytems

predavanje

24.02.2003-26.02.2003

Palm Springs (CA), Sjedinjene Američke Države

Povezanost rada

Elektrotehnika