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
A Gaussian Mixture Model and Conditional Generative Adversa..:
, In:
2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
,
Hu, Zhitao
;
Sun, Xiaorong
;
Pan, Xueping
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ETFG55873.2023.10407321
RT T1 <cTitle>2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)</cTitle>: T1 <Title>A Gaussian Mixture Model and Conditional Generative Adversarial Network based Hybrid Method for Short-Term Wind Power Forecasting of Offshore Wind Farms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10407321&Exemplar=1&LAN=DE A1 Hu, Zhitao A1 Sun, Xiaorong A1 Pan, Xueping A1 Ren, Bixing A1 Li, Qiang A1 Qiu, Kai YR 2023 K1 SCADA systems K1 Wind farms K1 Wind power generation K1 Predictive models K1 Wind turbines K1 Convolutional neural networks K1 Forecasting K1 Conditional generative adversarial network K1 Short-term wind power forecasting K1 Gaussian mixture model K1 Convolutional neural network K1 Gated recurrent unit SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ETFG55873.2023.10407321 DO https://doi.org/10.1109/ETFG55873.2023.10407321 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
