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
Machine learning based energy demand prediction:
Ammar Kamoona
;
Hui Song
;
Kian Keshavarzian
...
http://www.sciencedirect.com/science/article/pii/S2352484723013975. , 2023
Link:
https://doi.org/10.1016/j.egyr.2023.09.151
RT Journal T1
Machine learning based energy demand prediction
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d94dd2ec29124a7e92ed4d231f1e630b&Exemplar=1&LAN=DE A1 Ammar Kamoona A1 Hui Song A1 Kian Keshavarzian A1 Kedem Levy A1 Mahdi Jalili A1 Richardt Wilkinson A1 Xinghuo Yu A1 Brendan McGrath A1 Lasantha Meegahapola PB Elsevier YR 2023 K1 Energy demand K1 Interpretable model K1 Machine learning K1 Linear regression K1 Polynomial regression K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF http://www.sciencedirect.com/science/article/pii/S2352484723013975 LK http://dx.doi.org/https://doi.org/10.1016/j.egyr.2023.09.151 DO https://doi.org/10.1016/j.egyr.2023.09.151 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)