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 deep reinforcement learning-based method for predictive m..:
Fan, Lin
;
Su, Huai
;
Zio, Enrico
...
Journal of Cleaner Production. 335 (2022) - p. 130274 , 2022
Link:
https://doi.org/10.1016/j.jclepro.2021.130274
RT Journal T1
A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jclepro.2021.130274&Exemplar=1&LAN=DE A1 Fan, Lin A1 Su, Huai A1 Zio, Enrico A1 Chi, Lixun A1 Zhang, Li A1 Zhou, Jing A1 Liu, Zhe A1 Zhang, Jinjun PB Elsevier BV YR 2022 SN 0959-6526 JF Journal of Cleaner Production VO 335 SP 130274 LK http://dx.doi.org/https://doi.org/10.1016/j.jclepro.2021.130274 DO https://doi.org/10.1016/j.jclepro.2021.130274 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)