Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Majid Oloomi Buygi"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 1, Pp 170-180 (2021)
We aim to provide a tool for independent system operators to detect the collusion and identify the colluding firms by using day-ahead data. In this paper, an approach based on supervised machine learning is presented for collusion detection in electr
Externí odkaz:
https://doaj.org/article/2ad7f3ea687b44bba44ff1a6018cf83d
Autor:
Vahid Khaligh, Majid Oloomi Buygi
Publikováno v:
IET Generation, Transmission & Distribution, Vol 14, Iss 13, Pp 2476-2487 (2020)
This study provides a risk‐based gas and electricity expansion planning model to coordinate the expansion of electricity and gas networks in a multi‐carrier energy network. Generally, electricity and gas networks have separate owners having no me
Externí odkaz:
https://doaj.org/article/f330fd4fd741428686e0189f8c87219e
Publikováno v:
Energies, Vol 11, Iss 10, p 2573 (2018)
Gas-fired power plants are environmentally friendly because of their high efficiency rates and low CO2 emissions. On the other hand, the output power of renewable generators is stochastic, meaning that additional capacity must be held in reserve thro
Externí odkaz:
https://doaj.org/article/45a9f370d79b4b6ba08de6d93f6a1d8c
Publikováno v:
IEEE Systems Journal. 16:5413-5423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51f748da64ec5983dcaea8fd2909da64
https://doi.org/10.1109/jsyst.2021.3131938
https://doi.org/10.1109/jsyst.2021.3131938
Publikováno v:
International Journal of Electrical Power & Energy Systems. 152:109213
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e21fa0382cf0a16482bb70ac5e7f53af
https://doi.org/10.1016/j.ijepes.2023.109213
https://doi.org/10.1016/j.ijepes.2023.109213
Publikováno v:
IEEE Systems Journal. 15:146-157
In an oligopoly market, producers compete together to seize the electricity market share. Since they cannot obtain their desired profits through fair competition, they may collude to set their bid prices illegally higher than the oligopoly level. Man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b192cf1044ffa20d6f05593195fc1eb
https://doi.org/10.1109/jsyst.2020.2991608
https://doi.org/10.1109/jsyst.2020.2991608
Publikováno v:
International Journal of Electrical Power & Energy Systems. 147:108841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::757f21af002841ba6131e632ad685e9d
https://doi.org/10.1016/j.ijepes.2022.108841
https://doi.org/10.1016/j.ijepes.2022.108841
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 10, Pp 1640-1654 (2021)
Banaei, M, Oloomi-buygi, M, Raouf-Sheybani, H & Khooban, M H 2021, ' Mixed supply function-Cournot equilibrium model of futures and day-ahead electricity markets ', IET Generation, Transmission & Distribution, vol. 15, no. 10, pp. 1640-1654 . https://doi.org/10.1049/gtd2.12123
Banaei, M, Oloomi-buygi, M, Raouf-Sheybani, H & Khooban, M H 2021, ' Mixed supply function-Cournot equilibrium model of futures and day-ahead electricity markets ', IET Generation, Transmission & Distribution, vol. 15, no. 10, pp. 1640-1654 . https://doi.org/10.1049/gtd2.12123
Futures contract is one of the useful financial derivatives for hedging the market players against the risks of undesirable price fluctuations in the power systems. Market players are allowed to trade electric energy in both futures and day‐ahead e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aa06045078faedda91521570cdae7ab
https://doi.org/10.1049/gtd2.12123
https://doi.org/10.1049/gtd2.12123
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 1, Pp 170-180 (2021)
We aim to provide a tool for independent system operators to detect the collusion and identify the colluding firms by using day-ahead data. In this paper, an approach based on supervised machine learning is presented for collusion detection in electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7d4472f56354bcf8de2ccbe6ca98016
https://doi.org/10.35833/mpce.2018.000566
https://doi.org/10.35833/mpce.2018.000566
Publikováno v:
IET Generation, Transmission & Distribution. 14:1292-1297
This paper proposes a novel approach for modeling and revealing the competitors' behavior from perspective of an intended player (IP). To this end, from perspective of IP, we define an Equivalent Rival (ER) whose behavior in the electricity market re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec1178158d076757bbdd67692e913726
https://doi.org/10.1049/iet-gtd.2019.1612
https://doi.org/10.1049/iet-gtd.2019.1612