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
Stochastic Synthetic Data Generation for Electric Net Load ..:
Liu, Mengwei
;
Reed, Patrick
;
Anderson, C. Lindsay
Proceedings of the 54th Hawaii International Conference on System Sciences. , 2021
Link:
http://hdl.handle.net/10125/70998
RT Journal T1 <Title>Stochastic Synthetic Data Generation for Electric Net Load and Its Application</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivhawaiimano:oai:scholarspace.manoa.hawaii.edu:10125_70998&Exemplar=1&LAN=DE A1 Liu, Mengwei A1 Reed, Patrick A1 Anderson, C. Lindsay YR 2021 K1 Distributed K1 Renewable K1 and Mobile Resources K1 seasonal detrending technique K1 statistical validation K1 synthetic net load data generation K1 temporal correlation JF Proceedings of the 54th Hawaii International Conference on System Sciences LK http://hdl.handle.net/10125/70998 DO http://hdl.handle.net/10125/70998 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
