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 |
|
|
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 |
|
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 |
|