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 Clustering Method of Electric Power Customers Based on DB..:
, In:
2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
,
Fan, Liping
;
Peng, Linfang
;
Li, Huangqiang
... - p. 1236-1244 , 2024
Link:
https://doi.org/10.1109/EEBDA60612.2024.10485751
RT T1
2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
: T1
A Clustering Method of Electric Power Customers Based on DBSCAN Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-10485751&Exemplar=1&LAN=DE A1 Fan, Liping A1 Peng, Linfang A1 Li, Huangqiang A1 Du, Fengyi A1 Huang, Yu A1 Liu, Yunfei A1 Wang, Zhixin A1 Zheng, Yuelin YR 2024 K1 Electrical engineering K1 Power supplies K1 Electricity K1 Clustering methods K1 Search methods K1 Noise K1 Clustering algorithms K1 Distributed Computing K1 Power Customers Clustering K1 DBSCAN Clustering Algorithm K1 Clustering Analysis SP 1236 OP 1244 LK http://dx.doi.org/https://doi.org/10.1109/EEBDA60612.2024.10485751 DO https://doi.org/10.1109/EEBDA60612.2024.10485751 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)