Abstract
This paper provides insights into performance of competing agents in Power Trading Agent Competition finals held in May 2014. Firstly, the paper gives the description of the Power TAC post-game data set and presents our analysis process. Furthermore, paper discusses the analysis output: indicators about brokers performance in energy retail market, energy wholesale market as well as the balancing process. Results of the analysis identified diverse approaches in the design of competing agents strategies.
Keywords
This paper uses Power Trading Agent Competition (Power TAC) analysis framework originally described in the paper “An Analysis of Power TAC 2013 Trial” presented at the “Workshop on Trading Agent Design and Analysis (TADA 2013) @ AAAI 2013” for analysis of the Power TAC 2014 finals.
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- 1.
Power TAC Logfile Analysis is developed by Markus Peters, Rotterdam School of Management, Erasmus University. The software is available on http://bitbucket.org/markuspeters/pla.
- 2.
R is a free software environment for statistical computing and graphics. The software is available on http://www.r-project.org/.
- 3.
Based on assumption the game on average lasts for 60 days or 1440 h.
- 4.
In the day-ahead market, contracts are made between seller and buyer for the delivery of power in the next 24 h (i.e. the price is set and the trade is agreed).
- 5.
Wholesale trades are suitable if they match the energy load generated by the customers and the price follows the mean wholesale price.
References
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Acknowledgements
The authors acknowledge the support of the research project “Managing Trust and Coordinating Interactions in Smart Networks of People, Machines and Organizations”, funded by the Croatian Science Foundation.
Furthermore, authors thank Power TAC game master for organizing Power TAC 2014 as well as competing teams for participation.
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Babic, J., Podobnik, V. (2014). An Analysis of Power Trading Agent Competition 2014. In: Ceppi, S., et al. Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. AMEC AMEC TADA TADA 2014 2013 2014 2013. Lecture Notes in Business Information Processing, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-13218-1_1
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DOI: https://doi.org/10.1007/978-3-319-13218-1_1
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