ResMAS - A Conceptual MAS Model for Resource-Based Integrated Markets

  • Thiago R. P. M. RúbioEmail author
  • Zafeiris Kokkinogenis
  • Henrique Lopes Cardoso
  • Eugénio Oliveira
  • Rosaldo J. F. Rossetti
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 722)


Contemporary information systems provide extended capabilities to support both system and market operations and favour the emergence of dynamic marketplaces to complement traditional market organisations. An integrated market-based approach considers the coexistence of different market types and their interaction. We discuss ResMAS, a conceptual model for resource-based integrated markets where the entities are modelled as a Multi-Agent System (MAS). In this paper we exemplify the application of ResMAS in a plausible scenario: electricity markets. The main contributions of the ResMAS model comprise the capability to model complex agent decisions, the possibility to analyse the interaction among markets, and the possibility to create new regulation mechanisms to achieve the expected outcomes.


Market-based model Multi-Agent Systems Resource-based market 



This work is partially funded through IBRASIL, a Full Doctorate programme under Erasmus Mundus, Action 2 – STRAND 1, Lot 16, and FCT, the Portuguese Agency for R&D, under PhD Scholarship grant SFRH/BD/67202/2009.


  1. 1.
    Bojei, J., Julian, C.C., Wel, C.A.B.C., Ahmed, Z.U.: The empirical link between relationship marketing tools and consumer retention in retail marketing. J. Consum. Behav. 12(3), 171–181 (2013)CrossRefGoogle Scholar
  2. 2.
    Einav, L., Farronato, C., Levin, J.: Peer-to-peer markets. Annu. Rev. Econ. 8, 615–635 (2016)CrossRefGoogle Scholar
  3. 3.
    Gottwalt, S., Ketter, W., Block, C., Collins, J., Weinhardt, C.: Demand side management – a simulation of household behavior under variable prices. Energy Policy 39(12), 8163–8174 (2011)CrossRefGoogle Scholar
  4. 4.
    Heinrichs, H.: Sharing economy: a potential new pathway to sustainability. Gaia 22(4), 228 (2013)CrossRefGoogle Scholar
  5. 5.
    Kahlen, M., Ketter, W.: Aggregating electric cars to sustainable virtual power plants: the value of flexibility in future electricity markets. In: AAAI, pp. 665–671 (2015)Google Scholar
  6. 6.
    Niu, H., Baldick, R., Zhu, G.: Supply function equilibrium bidding strategies with fixed forward contracts. IEEE Trans. Power Syst. 20(4), 1859–1867 (2005)CrossRefGoogle Scholar
  7. 7.
    Rajkumar, R.R., Lee, I., Sha, L., Stankovic, J.: Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th Design Automation Conference, pp. 731–736. ACM (2010)Google Scholar
  8. 8.
    Ramos, C., Liu, C.C.: AI in power systems and energy markets. IEEE Intell. Syst. 26(2), 5–8 (2011)CrossRefGoogle Scholar
  9. 9.
    Tesfatsion, L.: Auction basics for wholesale power markets: objectives and pricing rules. In: IEEE Power and Energy Society General Meeting, PES 2009, pp. 1–8. IEEE (2009)Google Scholar
  10. 10.
    You, S., Træholt, C., Poulsen, B.: A market-based virtual power plant. In: 2009 International Conference on Clean Electrical Power, pp. 460–465. IEEE (2009)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Thiago R. P. M. Rúbio
    • 1
    Email author
  • Zafeiris Kokkinogenis
    • 1
  • Henrique Lopes Cardoso
    • 1
  • Eugénio Oliveira
    • 1
  • Rosaldo J. F. Rossetti
    • 1
  1. 1.LIACC/DEI, Faculdade de EngenhariaUniversidade do PortoPortoPortugal

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