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
Probabilistic Electricity Demand Forecasting with Transform..:
, In:
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Cao, Yang
;
Dang, Zhenzhen
;
Wu, Feng
.. - p. 964-969 , 2022
Link:
https://doi.org/10.1109/AUTEEE56487.2022.9994294
RT T1 <cTitle>2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>Probabilistic Electricity Demand Forecasting with Transformer-Guided State Space Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9994294&Exemplar=1&LAN=DE A1 Cao, Yang A1 Dang, Zhenzhen A1 Wu, Feng A1 Xu, Xovee A1 Zhou, Fan YR 2022 SN 2831-4549 K1 Uncertainty K1 Recurrent neural networks K1 Demand forecasting K1 Power transmission K1 Estimation K1 Predictive models K1 Probabilistic logic K1 electricity demand forecasting K1 time-series forecasting K1 transformer K1 state space model K1 uncertainty SP 964 OP 969 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE56487.2022.9994294 DO https://doi.org/10.1109/AUTEEE56487.2022.9994294 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
