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.

Additional Metadata
Conference Benelux Conference on Artificial Intelligence
Citation
Liefers, B.J, Hoogland, J, & La Poutré, J.A. (2014). A Successful Broker Agent for Power TAC. In Belgian/Netherlands Artificial Intelligence Conference (pp. 159–160).