Abstract
The Power TAC simulates a smart grid energy market. In this simulation, broker agents compete for customers on a tariff market and trade energy on a wholesale market. It provides a platform for testing strategies of broker agents against other strategies. In this paper we describe the strategies of our broker agent. Amongst others, due to a beneficial trading technique related to equilibria in continuous auctions on the wholesale market and a strategy inspired by Tit-for-Tat in the Iterated Prisoner’s Dilemma game on the tariff market, our broker ended second in the 2013 Power TAC.
Cite
CITATION STYLE
Liefers, B., Hoogland, J., & La Poutré, H. (2014). A successful broker agent for Power TAC. Lecture Notes in Business Information Processing, 187, 99–113. https://doi.org/10.1007/978-3-319-13218-1_8
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