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
Hierarchical Clustering and Deep Learning for Short-Term Lo..:
Rio Indralaksono
;
M. Abdul Wakhid
;
Novemi Uki A
...
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). 6 (2022) 4 - p. 692-701 , 2022
Link:
https://doi.org/10.29207/resti.v6i4.4282
RT Journal T1
Hierarchical Clustering and Deep Learning for Short-Term Load Forecasting with Influenced Factors
UL https://suche.suub.uni-bremen.de/peid=cr-10.29207_resti.v6i4.4282&Exemplar=1&LAN=DE A1 Rio Indralaksono A1 M. Abdul Wakhid A1 Novemi Uki A A1 Galih Hendra Wibowo A1 M. Abdillah A1 Agus Budi Rahardjo A1 Purwitasari, Diana PB Ikatan Ahli Informatika Indonesia (IAII) YR 2022 SN 2580-0760 JF Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) VO 6 IS 4 SP 692 OP 701 LK http://dx.doi.org/https://doi.org/10.29207/resti.v6i4.4282 DO https://doi.org/10.29207/resti.v6i4.4282 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)