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
Wind power prediction method based on CNN-LSTM-Attention an..:
, In:
2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
,
Zhu, Zhuangwei
;
Jiang, Jing
;
Zhu, Xiaolong
.. - p. 1683-1690 , 2024
Link:
https://doi.org/10.1109/IMCEC59810.2024.10575340
RT T1 <cTitle>2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)</cTitle>: T1 <Title>Wind power prediction method based on CNN-LSTM-Attention and Bayesian optimization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10575340&Exemplar=1&LAN=DE A1 Zhu, Zhuangwei A1 Jiang, Jing A1 Zhu, Xiaolong A1 Zheng, Guang A1 Zhan, Zhiming YR 2024 SN 2693-2776 K1 Accuracy K1 Time series analysis K1 Wind power generation K1 Predictive models K1 Wind farms K1 Feature extraction K1 Convolutional neural networks K1 wind power prediction K1 convolutional neural network K1 long short-term memory network K1 attention mechanism K1 bayesian optimization SP 1683 OP 1690 LK http://dx.doi.org/https://doi.org/10.1109/IMCEC59810.2024.10575340 DO https://doi.org/10.1109/IMCEC59810.2024.10575340 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
