Pregled bibliografske jedinice broj: 82059
Power System Topology Identification Using Neural Networks, Part II – Node Procesing
Power System Topology Identification Using Neural Networks, Part II – Node Procesing // Proceedings of the IASTED International Conference Power and Energy Systems
Kreta, Grčka: ACTA Press, 2002. str. 67-71 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 82059 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Power System Topology Identification Using Neural Networks, Part II – Node Procesing
Autori
Delimar, Marko ; Hebel, Zdravko ; Pavić, Ivica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IASTED International Conference Power and Energy Systems
/ - : ACTA Press, 2002, 67-71
Skup
IASTED International Conference Power and Energy Systems
Mjesto i datum
Kreta, Grčka, 2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
topology; anomalies; neural networks; power system; state estimation
Sažetak
... This paper presents a model for identifying anomalies in power system topology based on neural networks. The procedure is divided into two parts: nodes and branch processing. This paper focuses on node processing. Several types of neural networks were tried out on different power system network configurations. The results obtained using multilayer percepton with backpropagation learning algorithm are presented and analyzed.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
