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
Application of Machine Learning for Predicting Building Ene..:
Rezvan Mohammadiziazi
;
Melissa M. Bilec
https://www.mdpi.com/2075-5309/10/8/139. , 2020
Link:
https://doi.org/10.3390/buildings10080139
RT Journal T1
Application of Machine Learning for Predicting Building Energy Use at Different Temporal and Spatial Resolution under Climate Change in USA
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:b664f55d04da4bc49cfa5faa7082b489&Exemplar=1&LAN=DE A1 Rezvan Mohammadiziazi A1 Melissa M. Bilec PB MDPI AG YR 2020 K1 machine learning K1 building energy use K1 climate change K1 prediction model K1 data-driven K1 random forest K1 Building construction K1 TH1-9745 JF https://www.mdpi.com/2075-5309/10/8/139 LK http://dx.doi.org/https://doi.org/10.3390/buildings10080139 DO https://doi.org/10.3390/buildings10080139 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)