Zobrazeno 1 - 10
of 14
pro vyhledávání: '"David Csercsik"'
Autor:
Bence Suto, Balint Sinkovics, Istvan Taczi, Lilla Barancsuk, Beata Polgari, Peter Sores, Balint Hartmann, Daniel Divenyi, Istvan Vokony, David Csercsik
Publikováno v:
2022 8th International Youth Conference on Energy (IYCE).
Autor:
David Csercsik
Publikováno v:
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).
Price decoupling in a simple electricity market model with block and minimum income condition orders
Autor:
David Csercsik
Publikováno v:
2018 19th IEEE Mediterranean Electrotechnical Conference (MELECON).
We propose a simple market scenario with fill-or-kill, block and minimum income orders to test the effect of various clearing mechanisms in a computationally easy-to-handle environment. We consider two classical clearing-price based approaches as ref
Autor:
Dávid Csercsik
Publikováno v:
Energy Strategy Reviews, Vol 50, Iss , Pp 101248- (2023)
In this paper we analyze how increasing levels of cooperation in reserve procurement and activation affect the implied economic benefits and the respective network loads assuming various paradigms of coordination. To approach the question we construc
Externí odkaz:
https://doaj.org/article/ab84700894dc4059bab01eb71fef1fcd
Autor:
David Csercsik
Optimal power flow (OPF) problems are focussing on the question how a power transmission network can be operated in the most economic way. The general aim in such scenarios is to optimize generator scheduling in order to meet consumption re-quirement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::1054ca943ff73d752378b06cb30758cf
http://econ.core.hu/file/download/mtdp/MTDP1511.pdf
http://econ.core.hu/file/download/mtdp/MTDP1511.pdf
Publikováno v:
Energy Strategy Reviews, Vol 44, Iss , Pp 100982- (2022)
To understand the impact of keeping Nord Stream 2 off the map, we model the European natural gas market from the point of view of supply security. Focusing on the network aspects, we propose a novel framework to measure supply security, combining a l
Externí odkaz:
https://doaj.org/article/032776b7ec744a5bb22b9d486d0c076c
Autor:
David Csercsik
A cooperative game theoretic framework is introduced to study the behavior of cooperating and competing electrical energy providers considering price-preference rational consumers. We analyze the interactions of generators in an idealized environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::30c4cf4a19cc4f43fdd083c9362540af
http://econ.core.hu/file/download/mtdp/MTDP1310.pdf
http://econ.core.hu/file/download/mtdp/MTDP1310.pdf
Autor:
David Csercsik, Balazs Sziklai
The purpose of this paper is to introduce a novel family of games related to congested networks. Traffic routing has been extensively analyzed from the non-cooperative aspect. A common assumption is that each individual optimizes his route in the net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::a9c7d031dce1551e5169797c99c1ad7a
http://econ.core.hu/file/download/mtdp/MTDP1309.pdf
http://econ.core.hu/file/download/mtdp/MTDP1309.pdf
Autor:
David Csercsik, Laszlo A. Koczy
An electrical transmission network consists of producers, consumers and the power lines connecting them. We build an ideal (lossless) DC load flow model as a cooperative game over a graph with the producers and consumers located at the nodes, each de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::6fb588d37bbd5cdbc3fae0791a9cd79f
http://econ.core.hu/file/download/mtdp/MTDP1125.pdf
http://econ.core.hu/file/download/mtdp/MTDP1125.pdf
Autor:
István Z Reguly, Dávid Csercsik, János Juhász, Kálmán Tornai, Zsófia Bujtár, Gergely Horváth, Bence Keömley-Horváth, Tamás Kós, György Cserey, Kristóf Iván, Sándor Pongor, Gábor Szederkényi, Gergely Röst, Attila Csikász-Nagy
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009693 (2022)
Pandemic management requires reliable and efficient dynamical simulation to predict and control disease spreading. The COVID-19 (SARS-CoV-2) pandemic is mitigated by several non-pharmaceutical interventions, but it is hard to predict which of these a
Externí odkaz:
https://doaj.org/article/3da4e609c1b241a88bd3493d8ab19443