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Demonstration of ALBidS: Adaptive Learning Strategic Bidding System

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Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection (PAAMS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9662))

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Abstract

Current worldwide electricity markets are strongly affected by the increasing use of renewable energy sources.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794.

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References

  1. Sioshansi, F.P.: Evolution of Global Electricity Markets – New Paradigms, New Challenges, New Approaches. Academic Press, USA (2013)

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Author information

Authors and Affiliations

  1. Institute of Engineering – Politechnic of Porto (ISEP/IPP), GECAD – Knowledge Engineering and Decision-Support Research Center, Porto, Portugal

    Tiago Pinto, Zita Vale, Isabel Praça & Gabriel Santos

Authors
  1. Tiago Pinto
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  2. Zita Vale
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  3. Isabel Praça
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  4. Gabriel Santos
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Corresponding author

Correspondence to Tiago Pinto .

Editor information

Editors and Affiliations

  1. Lab. d'Informatique de Grenoble, Centre National de la Rech. Scientifique, Grenoble, France

    Yves Demazeau

  2. Dept. of Computer Sci. and Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  3. Dept. de Inteligencia Artificial, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain

    Javier Bajo

  4. ETS Ingenieria Informatica, Universidad de Sevilla, Sevilla, Spain

    Maria José Escalona

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© 2016 Springer International Publishing Switzerland

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Pinto, T., Vale, Z., Praça, I., Santos, G. (2016). Demonstration of ALBidS: Adaptive Learning Strategic Bidding System. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M. (eds) Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. PAAMS 2016. Lecture Notes in Computer Science(), vol 9662. Springer, Cham. https://doi.org/10.1007/978-3-319-39324-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-39324-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39323-0

  • Online ISBN: 978-3-319-39324-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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