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
Short-term Load Forecasting Based on Elman Neural Network:
, In:
2023 Panda Forum on Power and Energy (PandaFPE)
,
Jiang, Yingying
;
He, Yingqiao
;
Zhou, Aishu
... - p. 427-431 , 2023
Link:
https://doi.org/10.1109/PandaFPE57779.2023.10140477
RT T1
2023 Panda Forum on Power and Energy (PandaFPE)
: T1
Short-term Load Forecasting Based on Elman Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10140477&Exemplar=1&LAN=DE A1 Jiang, Yingying A1 He, Yingqiao A1 Zhou, Aishu A1 Tan, Wen A1 Huang, Xia A1 Xia, Yidan YR 2023 K1 Neural networks K1 Data processing K1 Meteorology K1 Data models K1 Climate change K1 Load modeling K1 Forecasting K1 Power generation K1 Costs K1 Elman neural networks K1 data preprocessing K1 meteorological data K1 data-types K1 segmentation method SP 427 OP 431 LK http://dx.doi.org/https://doi.org/10.1109/PandaFPE57779.2023.10140477 DO https://doi.org/10.1109/PandaFPE57779.2023.10140477 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)