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
Renewable Energy Short Circuit Ratio Prediction Based on Sp..:
, In:
2023 China Automation Congress (CAC)
,
Zhang, Geng
;
Yang, Shuangming
;
Chen, Badong
- p. 8754-8758 , 2023
Link:
https://doi.org/10.1109/CAC59555.2023.10450452
RT T1
2023 China Automation Congress (CAC)
: T1
Renewable Energy Short Circuit Ratio Prediction Based on Spiking Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10450452&Exemplar=1&LAN=DE A1 Zhang, Geng A1 Yang, Shuangming A1 Chen, Badong YR 2023 SN 2688-0938 K1 Renewable energy sources K1 Predictive models K1 Wind power generation K1 Control systems K1 Power systems K1 Integrated circuit modeling K1 Voltage control K1 renewable energy K1 short circuit ratio K1 spike neural network K1 prediction SP 8754 OP 8758 LK http://dx.doi.org/https://doi.org/10.1109/CAC59555.2023.10450452 DO https://doi.org/10.1109/CAC59555.2023.10450452 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)