Pregled bibliografske jedinice broj: 84178
Power System Topology Identification Using Neural Networks, Part I - Line Processing
Power System Topology Identification Using Neural Networks, Part I - Line Processing // Proceedins of the IASTED International Conference Power and Energy Systems / Domijan, A. Jr. (ur.).
Tampa (FL), Sjedinjene Američke Države: ACTA Press, 2001. str. 129-133 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 84178 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Power System Topology Identification Using Neural Networks, Part I - Line Processing
Autori
Delimar, Marko ; Hebel, Zdravko ; Pavić Ivica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedins of the IASTED International Conference Power and Energy Systems
/ Domijan, A. Jr. - : ACTA Press, 2001, 129-133
Skup
IASTED International Conference Power and Energy Systems
Mjesto i datum
Tampa (FL), Sjedinjene Američke Države, 19.11.2001. - 22.11.2001
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
topology; anomalies; neural networks; power system; state estimation
Sažetak
... This paper present 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 branch 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
