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
Influence of Land Use information over performance when pre..:
, In:
2021 IEEE International Conference on Big Data (Big Data)
,
Habault, Guillaume
;
Wada, Shinya
;
Ono, Chihiro
- p. 1633-1639 , 2021
Link:
https://doi.org/10.1109/BigData52589.2021.9671415
RT T1 <cTitle>2021 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Influence of Land Use information over performance when predicting spatiotemporal electricity load demand</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9671415&Exemplar=1&LAN=DE A1 Habault, Guillaume A1 Wada, Shinya A1 Ono, Chihiro YR 2021 K1 Renewable energy sources K1 Recurrent neural networks K1 Predictive models K1 Big Data K1 Multilayer perceptrons K1 Climate change K1 Spatiotemporal phenomena K1 Electricity Load Demand K1 Land Use Information K1 Deep Learning K1 Cross-Domain Prediction SP 1633 OP 1639 LK http://dx.doi.org/https://doi.org/10.1109/BigData52589.2021.9671415 DO https://doi.org/10.1109/BigData52589.2021.9671415 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
