bibtype J - Journal Article
ARLID 0468195
utime 20240103213252.2
mtime 20170103235959.9
SCOPUS 84992153625
WOS 000401196500011
DOI 10.1080/02331934.2016.1227981
title (primary) (eng) Nash equilibrium in a pay-as-bid electricity market: Part 1- existence and characterization
specification
page_count 13 s.
media_type P
serial
ARLID cav_un_epca*0258218
ISSN 0233-1934
title Optimization
volume_id 66
volume 6 (2017)
page_num 1013-1025
publisher
name Taylor & Francis
keyword Electricity market
keyword multi-leader-follower game
keyword Nash equilibrium
keyword best response
author (primary)
ARLID cav_un_auth*0298685
share 33
name1 Aussel
name2 D.
country FR
garant K
author
ARLID cav_un_auth*0340984
share 33
name1 Bendotti
name2 P.
country FR
author
ARLID cav_un_auth*0234872
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
share 34
name1 Pištěk
name2 Miroslav
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/MTR/pistek-0468195.pdf
cas_special
project
ARLID cav_un_auth*0321507
project_id GA15-00735S
agency GA ČR
abstract (eng) We consider a model of a pay-as-bid electricity market based on a multileader-common-follower approach where the producers as leaders are at the upper level and the regulator as a common follower is at the lower level. We fully characterize Nash equilibria for this model by describing necessary and sufficient conditions for their existence as well as providing explicit formulas of such equilibria in the market.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50201
reportyear 2018
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0266867
confidential S
mrcbC86 3+4 Article Operations Research Management Science|Mathematics Applied
mrcbC86 1 Article Operations Research Management Science|Mathematics Applied
mrcbC86 1 Article Operations Research Management Science|Mathematics Applied
mrcbT16-e MATHEMATICSAPPLIED|OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 0.553
mrcbT16-s 0.736
mrcbT16-B 35.932
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2017
mrcbU14 84992153625 SCOPUS
mrcbU24 PUBMED
mrcbU34 000401196500011 WOS
mrcbU63 cav_un_epca*0258218 Optimization 0233-1934 1029-4945 Roč. 66 č. 6 2017 1013 1025 Taylor & Francis