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Trading Strategies of a Champion Agent in a Multiagent Smart Grid Simulation Platform

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Multiagent System Technologies (MATES 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9433))

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Abstract

Local producers and storage units will play a major role in the future electricity grid along with the challenge of sustainability. For this reason, smart grid simulations are needed to forecast the challenges of two-way information and energy flow. The Power Trading Agent Competition (Power TAC) provides an open source simulation platform to enable and verify various smart grid studies from the perspective of sustainability. Besides, an annual competition is hosted in which autonomous agents trade in energy markets and make profits. AgentUDE won the Power TAC 2014 Final as a broker utilizing an adaptive agent. This paper details the trading strategies of AgentUDE and analyzes the tournament.

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Author information

Authors and Affiliations

  1. DAWIS, Universität Duisburg-Essen, Schützenbahn 70, 45127, Essen, Germany

    Serkan Özdemir & Rainer Unland

Authors
  1. Serkan Özdemir
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  2. Rainer Unland
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Corresponding author

Correspondence to Serkan Özdemir .

Editor information

Editors and Affiliations

  1. Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Wolf Ketter

  3. Bar Ilan University, Ramat Gan, Israel

    Gal Kaminka

  4. Brandenburg University of Technology, Cottbus, Germany

    Gerd Wagner

  5. Delft University of Technology, Delft, The Netherlands

    Nils Bulling

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© 2015 Springer International Publishing Switzerland

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Özdemir, S., Unland, R. (2015). Trading Strategies of a Champion Agent in a Multiagent Smart Grid Simulation Platform. In: Müller, J., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds) Multiagent System Technologies . MATES 2015. Lecture Notes in Computer Science(), vol 9433. Springer, Cham. https://doi.org/10.1007/978-3-319-27343-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-27343-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27342-6

  • Online ISBN: 978-3-319-27343-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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