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.

Benelux Conference on Artificial Intelligence
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

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).