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
Long Short-Term Memory Recurrent Neural Network for Estimat..:
, In:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
,
Cheng Lam, Dylon Hao
;
Seng Lim, Yun
;
Hau, Lee Cheun
. - p. 1887-1894 , 2022
Link:
https://doi.org/10.1109/SPIES55999.2022.10082116
RT T1 <cTitle>2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)</cTitle>: T1 <Title>Long Short-Term Memory Recurrent Neural Network for Estimating State of Charge of Energy Storage System for Grid Services</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10082116&Exemplar=1&LAN=DE A1 Cheng Lam, Dylon Hao A1 Seng Lim, Yun A1 Hau, Lee Cheun A1 Wong, Jianhui YR 2022 K1 Maximum likelihood estimation K1 Recurrent neural networks K1 Estimation K1 Machine learning K1 Real-time systems K1 Batteries K1 Calibration K1 state of charge estimation K1 long short-term memory K1 machine learning K1 peak demand reduction K1 energy storage system K1 battery SP 1887 OP 1894 LK http://dx.doi.org/https://doi.org/10.1109/SPIES55999.2022.10082116 DO https://doi.org/10.1109/SPIES55999.2022.10082116 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
