Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
Your ORBilu journey: new or leaving UL
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Add a publication
Back
Home
A two-steps dynamic demand estimation approach sequentially adjusting generations and distributions - 2015
Request a copy
Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A two-steps dynamic demand estimation approach sequentially adjusting generations and distributions
CANTELMO, Guido
;
VITI, Francesco
;
Cipriani, Ernesto
et al.
2015
•
In
Proceedings of IEEE-ITS Conference
Peer reviewed
Permalink
https://hdl.handle.net/10993/23221
DOI
10.1109/ITSC.2015.241
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
Cantelmo_TwoStepsODEstimation.pdf
Author postprint (323.41 kB)
Request a copy
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
CANTELMO, Guido
;
University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
VITI, Francesco
;
University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Cipriani, Ernesto
Nigro, Marialisa
External co-authors :
yes
Language :
English
Title :
A two-steps dynamic demand estimation approach sequentially adjusting generations and distributions
Publication date :
September 2015
Event name :
IEEE Conference on ITS
Event date :
15-18 September 2015
Audience :
International
Main work title :
Proceedings of IEEE-ITS Conference
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 24 December 2015
Statistics
Number of views
186 (8 by Unilu)
Number of downloads
0 (0 by Unilu)
More statistics
Scopus citations
®
14
Scopus citations
®
without self-citations
8
OpenAlex citations
15
Bibliography
Similar publications
Contact ORBilu