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
Predicting Cooling Energy Demands of Adaptive Facades Using..:
, In:
2022 Annual Modeling and Simulation Conference (ANNSIM)
,
Alammar, Ammar
;
Jabi, Wassim
- p. 656-669 , 2022
Link:
https://doi.org/10.23919/ANNSIM55834.2022.9859413
RT T1
2022 Annual Modeling and Simulation Conference (ANNSIM)
: T1
Predicting Cooling Energy Demands of Adaptive Facades Using Artificial Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9859413&Exemplar=1&LAN=DE A1 Alammar, Ammar A1 Jabi, Wassim YR 2022 K1 Training K1 Adaptation models K1 Adaptive systems K1 Cooling K1 Computational modeling K1 Buildings K1 Poles and towers K1 Adaptive Façade K1 Automatic Control K1 Cooling Energy Demand K1 Machine Learning K1 Artificial Neural Network SP 656 OP 669 LK http://dx.doi.org/https://doi.org/10.23919/ANNSIM55834.2022.9859413 DO https://doi.org/10.23919/ANNSIM55834.2022.9859413 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)