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
Dynamic Clustering Method for Distribution Networks with Ma..:
, In:
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)
,
Mao, Wenbo
;
Cao, Dongzhi
;
Zhu, Kedong
... - p. 1045-1051 , 2023
Link:
https://doi.org/10.1109/ACPEE56931.2023.10135735
RT T1 <cTitle>2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)</cTitle>: T1 <Title>Dynamic Clustering Method for Distribution Networks with Massive Controllable Power Resources based on Improved K-means++</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10135735&Exemplar=1&LAN=DE A1 Mao, Wenbo A1 Cao, Dongzhi A1 Zhu, Kedong A1 Tang, Biqiang A1 Yao, Liangzhong A1 Liao, Siyang YR 2023 K1 Heuristic algorithms K1 Clustering methods K1 Simulation K1 Clustering algorithms K1 Distribution networks K1 Dynamic scheduling K1 Dispatching K1 Massive regulatory resources K1 Clustering index system K1 Dynamic weighting K1 Improved K-means++ K1 Dynamic clustering SP 1045 OP 1051 LK http://dx.doi.org/https://doi.org/10.1109/ACPEE56931.2023.10135735 DO https://doi.org/10.1109/ACPEE56931.2023.10135735 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
