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An Effective Broker for the Power TAC 2014

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Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets (AMEC/TADA 2015, AMEC/TADA 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 271))

Abstract

The Power TAC is a competition-based simulation of an electricity market. The goal of the competition is to test retailer (broker) strategies in a competitive environment. Participants create broker agents that trade electricity. In this paper we describe our broker, which we created as a participant of the 2014 Power TAC competition. We describe the strategies for two main components of the game: the tariff market and the wholesale market. We also discuss the performance of our broker in the competition, where we were second in the final ranking.

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References

  1. Babic, J., Podobnik, V.: Adaptive bidding for electricity wholesale markets in a smart grid. In: Proceedings of the Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis (AMEC/TADA 2014) @AAMAS 2014, pp. 1–14. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Paris, France (2014)

    Google Scholar 

  2. Babic, J., Podobnik, V.: An analysis of power trading agent competition 2014. In: Ceppi, S., David, E., Podobnik, V., Robu, V., Shehory, O., Stein, S., Vetsikas, I.A. (eds.) AMEC/TADA 2013-2014. LNBIP, vol. 187, pp. 1–15. Springer, Cham (2014). doi:10.1007/978-3-319-13218-1_1

    Google Scholar 

  3. Ketter, W., Collins, J., Reddy, P.P., Weerdt, M.D.: The 2013 power trading agent competition. ERIM Report Series Reference No. ERS-2013-006-LIS (2013)

    Google Scholar 

  4. Ketter, W., Collins, J., Reddy, P.P., Weerdt, M.D.: The 2014 power trading agent competition. ERIM Report Series Reference No. ERS-2014-004-LIS, March 2014

    Google Scholar 

  5. Ketter, W., Peters, M., Collins, J.: Autonomous agents in future energy markets: the power trading agent competition. In: AAAI 2013 (2012)

    Google Scholar 

  6. Liefers, B., Hoogland, J., La Poutré, H.: A successful broker agent for power tac. In: Proceedings of the Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis (AMEC/TADA 2014) @AAMAS 2014, pp. 1–14. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Paris, France (2014)

    Google Scholar 

  7. Somani, A., Tesfatsion, L.: An agent-based test bed study of wholesale power market performance measures. IEEE Comput. Intell. Mag. 3(4), 56–72 (2008)

    Article  Google Scholar 

  8. Urieli, D., Stone, P.: TacTex’13: a champion adaptive power trading agent. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands

    Jasper Hoogland & Han La Poutré

  2. Delft University of Technology, Delft, The Netherlands

    Han La Poutré

Authors
  1. Jasper Hoogland
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  2. Han La Poutré
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Corresponding author

Correspondence to Jasper Hoogland .

Editor information

Editors and Affiliations

  1. School of Informatics, University of Edinburgh , Cambridge, United Kingdom

    Sofia Ceppi

  2. Department of Computer Science, Ashkelon Academic College , Ashkelon, Israel

    Esther David

  3. Department of EE and CS, Vanderbilt University , Nashville, Tennessee, USA

    Chen Hajaj

  4. Smart Systems Group, Heriot-Watt University , Edinburgh, United Kingdom

    Valentin Robu

  5. Information Technology, The American College of Greece , Agia Paraskevi, Athens, Greece

    Ioannis A. Vetsikas

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Hoogland, J., La Poutré, H. (2017). An Effective Broker for the Power TAC 2014. In: Ceppi, S., David, E., Hajaj, C., Robu, V., Vetsikas, I. (eds) Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. AMEC/TADA AMEC/TADA 2015 2016. Lecture Notes in Business Information Processing, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-319-54229-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-54229-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54228-7

  • Online ISBN: 978-3-319-54229-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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