I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Separated Artificial Neural Network Based Distribution Syst..:
, In:
2023 IEEE PES GTD International Conference and Exposition (GTD)
,
Pasic, Lejla
;
Pasic, Azra
;
Pasic, Alija
.. - p. 320-324 , 2023
Link:
https://doi.org/10.1109/GTD49768.2023.00087
RT T1
2023 IEEE PES GTD International Conference and Exposition (GTD)
: T1
Separated Artificial Neural Network Based Distribution System State Estimation
UL https://suche.suub.uni-bremen.de/peid=ieee-10261730&Exemplar=1&LAN=DE A1 Pasic, Lejla A1 Pasic, Azra A1 Pasic, Alija A1 Vokony, Istvan A1 Biro, Jozsef YR 2023 K1 Training K1 Reactive power K1 Power measurement K1 Runtime K1 Artificial neural networks K1 Prediction algorithms K1 Time measurement K1 state estimation K1 distribution networks K1 artificial neural networks K1 separated distribution system state estimation SP 320 OP 324 LK http://dx.doi.org/https://doi.org/10.1109/GTD49768.2023.00087 DO https://doi.org/10.1109/GTD49768.2023.00087 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)