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 Hybrid Model for Long-Term Wind Power Forecasting Utilizi..:
Chang, Yu
;
Yang, Han
;
Chen, Yuxi
...
IEEE Transactions on Sustainable Energy. 15 (2024) 1 - p. 263-275 , 2024
Link:
https://doi.org/10.1109/tste.2023.3283242
RT Journal T1 <Title>A Hybrid Model for Long-Term Wind Power Forecasting Utilizing NWP Subsequence Correction and Multi-Scale Deep Learning Regression Methods</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tste.2023.3283242&Exemplar=1&LAN=DE A1 Chang, Yu A1 Yang, Han A1 Chen, Yuxi A1 Zhou, Mingrui A1 Yang, Huabin A1 Wang, Yan A1 Zhang, Yanru PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1949-3029 SN 1949-3037 JF IEEE Transactions on Sustainable Energy VO 15 IS 1 SP 263 OP 275 LK http://dx.doi.org/https://doi.org/10.1109/tste.2023.3283242 DO https://doi.org/10.1109/tste.2023.3283242 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
