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 multi-head Convolutional Neural Network based non-intrusi..:
Grover, Himanshu
;
Panwar, Lokesh
;
Verma, Ashu
..
Sustainable Energy, Grids and Networks. 32 (2022) - p. 100938 , 2022
Link:
https://doi.org/10.1016/j.segan.2022.100938
RT Journal T1
A multi-head Convolutional Neural Network based non-intrusive load monitoring algorithm under dynamic grid voltage conditions
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.segan.2022.100938&Exemplar=1&LAN=DE A1 Grover, Himanshu A1 Panwar, Lokesh A1 Verma, Ashu A1 Panigrahi, B.K. A1 Bhatti, T.S. PB Elsevier BV YR 2022 SN 2352-4677 JF Sustainable Energy, Grids and Networks VO 32 SP 100938 LK http://dx.doi.org/https://doi.org/10.1016/j.segan.2022.100938 DO https://doi.org/10.1016/j.segan.2022.100938 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)