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
Mid-Long Term Electricity Consumption Forecasting Analysis ..:
, In:
2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
,
Hu, Chenxi
;
Yuan, Hongxia
;
Zhang, Jun Jason
... - p. 564-569 , 2020
Link:
https://doi.org/10.1109/CASE48305.2020.9216805
RT T1 <cTitle>2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)</cTitle>: T1 <Title>Mid-Long Term Electricity Consumption Forecasting Analysis Based on Cyber-Physical-Social System Architecture</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9216805&Exemplar=1&LAN=DE A1 Hu, Chenxi A1 Yuan, Hongxia A1 Zhang, Jun Jason A1 Yan, Jing A1 Gao, Tianlu A1 Zhao, Hang A1 Lin, Jieyu A1 Zhou, Peng YR 2020 SN 2161-8089 K1 Forecasting K1 Predictive models K1 Feature extraction K1 Economic indicators K1 Load forecasting SP 564 OP 569 LK http://dx.doi.org/https://doi.org/10.1109/CASE48305.2020.9216805 DO https://doi.org/10.1109/CASE48305.2020.9216805 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
