Adaptive Bidding for Electricity Wholesale Markets in a Smart Grid (CROSBI ID 610658)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Babić, Jurica ; Podobnik, Vedran
engleski
Adaptive Bidding for Electricity Wholesale Markets in a Smart Grid
One of challenges for researchers in smart grids is to find mechanisms for putting orders on the electricity wholesale market. This paper tackles this problem by proposing adaptive bidding mechanism for trading in the wholesale market. The research challenge lies in the fact that wholesale players simultaneously trade on 24 different wholesale markets determined by the moment of electricity delivery which ranges from 1 to 24 hours ahead. Namely, the variant Roth-Erev reinforcement learning algorithm is used to coordinate wholesale bidding across different markets by choosing among four implemented wholesale strategies. The Power Trading Agent Competition is used to evaluate the performance of different implementations of the adaptive bidding mechanism as well as to benchmark adaptive bidding approach against single strategy approach.
smart grids ; software agents ; electricity wholesale market ; reinforcement learning ; Power Trading Agent Competition
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Podaci o prilogu
1-14.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis (AMEC/TADA 2014) @ AAMAS 2014
Ceppi, S. ; David, E. ; Robu, V., Shehory O. ; Vetsikas, I.A.
Pariz: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
978-1-4503-2738-1
Podaci o skupu
Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis (AMEC/TADA 2014) @ AAMAS 2014
predavanje
05.05.2014-05.05.2014
Pariz, Francuska