Pregled bibliografske jedinice broj: 84085
Power System Topology Identification Using Neural Networks, Part III – Unsupervised parts of the power system
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.).
Palm Springs (CA), Sjedinjene Američke Države: ACTA Press, 2003. str. 83-87 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 84085 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Power System Topology Identification Using Neural Networks, Part III – Unsupervised parts of the power system
Autori
Delimar, Marko ; Pavić, Ivica ; Hebel, Zdravko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of the Seventh IASTED International Multi-Conference Power and Energy Sytems
/ Smedley, Keyue Ma - : ACTA Press, 2003, 83-87
Skup
Seventh IASTED International Multi-Conference Power and Energy Sytems
Mjesto i datum
Palm Springs (CA), Sjedinjene Američke Države, 24.02.2003. - 26.02.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
power system; topology recognition; neural networks; unsupervised parts of the power system
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
