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
Big Data Platform for Real-Time Oscillatory Stability Predi..:
, In:
2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)
,
Cepeda, Jaime
;
Gomez, Ignacio
;
Calero, Fabian
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/SGSMA51733.2022.9806014
RT T1 <cTitle>2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)</cTitle>: T1 <Title>Big Data Platform for Real-Time Oscillatory Stability Predictive Assessment Using Recurrent Neural Networks and WAProtector's Records</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9806014&Exemplar=1&LAN=DE A1 Cepeda, Jaime A1 Gomez, Ignacio A1 Calero, Fabian A1 Vaca, Angel YR 2022 K1 Recurrent neural networks K1 Estimation K1 Power system stability K1 Big Data K1 Stability analysis K1 Real-time systems K1 Phasor measurement units K1 Phasor Measurement Unit K1 Oscillatory Stability K1 Modal Estimation K1 Recurrent Neural Networks K1 Wide Area Monitoring System SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SGSMA51733.2022.9806014 DO https://doi.org/10.1109/SGSMA51733.2022.9806014 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
