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
Probabilistic Optimal Power Flow Solution Using a Novel Hyb..:
Mohamed A. M. Shaheen
;
Hany M. Hasanien
;
Said F. Mekhamer
...
https://www.mdpi.com/2227-7390/10/17/3036. , 2022
Link:
https://doi.org/10.3390/math10173036
RT Journal T1
Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f13fdc395b3e4677ac8388d0a627ca14&Exemplar=1&LAN=DE A1 Mohamed A. M. Shaheen A1 Hany M. Hasanien A1 Said F. Mekhamer A1 Mohammed H. Qais A1 Saad Alghuwainem A1 Zia Ullah A1 Marcos Tostado-Véliz A1 Rania A. Turky A1 Francisco Jurado A1 Mohamed R. Elkadeem PB MDPI AG YR 2022 K1 machine learning K1 probabilistic optimal power flow K1 renewable energy sources K1 Mathematics K1 QA1-939 JF https://www.mdpi.com/2227-7390/10/17/3036 LK http://dx.doi.org/https://doi.org/10.3390/math10173036 DO https://doi.org/10.3390/math10173036 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)