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.
doi.org/10.1007/978-3-319-13218-1_8
Lecture Notes in Business Information Processing
Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets
Intelligent and autonomous systems

Liefers, B., Hoogland, J., & La Poutré, H. (2014). A Successful Broker Agent for Power TAC. In Lecture Notes in Business Information Processing. doi:10.1007/978-3-319-13218-1_8