Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation

  • Jaime Rodriguez-Fernandez
  • Tiago PintoEmail author
  • Francisco Silva
  • Isabel Praça
  • Zita Vale
  • Juan Manuel Corchado
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 887)


The negotiation is one of the most important phase of the process of buying and selling energy in electricity markets. Buyers and sellers know about their own trading behavior or the quality of their products. However, they can also gather data directly or indirectly from them through the exchange information before or during negotiation, even negotiators should also gather information about past behavior of the other parties, such as their trustworthiness and reputation. Hence, in this scope, reputation models play a more important role in decision-making process in the undertaken bilateral negotiation. Since the decision takes into account, not only the potential economic gain for supported player, but also the reliability of the contracts. Therefore, the reputation component represents the level of confidence that the supported player can have on the opponent’s service, i.e. in this case, the level of assurance that the opponent will fulfil the conditions established in the contract. This paper proposes a reputation computational model, included in DECON, a decision support system for bilateral contract negotiation, in order to enhance the decision-making process regarding the choice of the most suitable negotiation parties.


Bilateral contracts Decision support system Electricity Market Reputation models Negotiation process 


  1. 1.
    Rheingold, H.: The Virtual Community: Homesteading on the Electronic Frontier, Revised edn. MIT Press, Cambridge (2001)Google Scholar
  2. 2.
    Wellman, B.: Computer networks as social networks. Science 293(14), 2031–2034 (2001)CrossRefGoogle Scholar
  3. 3.
    Smith, M., Kollock, P. (eds.): Communities in Cyberspace. Routledge Press, London (1999)Google Scholar
  4. 4.
    Houser, D.E., Wooders, J.: Reputation in Internet Auctions: Theory and Evidence from eBay. working paper (2001).
  5. 5.
    Dewan, S., Hsu, V.: Trust in Electronic Markets: Price Discovery in Generalist Versus Specialty Online Auctions (2001).
  6. 6.
    Sioshansi, F.P.: Evolution of Global Electricity Markets – New Paradigms, New Challenges, New Approaches. Academic Press, London (2013)Google Scholar
  7. 7.
    Algarvio, H., Lopes, F., Santana, J.: Bilateral contracting in multi-agent energy markets: forward contracts and risk management. In: Bajo, J., et al. (eds.) PAAMS 2015. CCIS, vol. 524, pp. 260–269. Springer, Cham (2015). Scholar
  8. 8.
    Gutowska, A., Buckley, K.: Computing reputation metric in multi-agent e-commerce reputation system. In: International Conference on Distributed Computing Systems, Beijing (2008)Google Scholar
  9. 9.
    Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artif. Intel. Rev. 24, 33–60 (2005)CrossRefGoogle Scholar
  10. 10.
    Resnick, P., Zeckhauser, R.: Trust among strangers in internet transactions: empirical analysis of eBay’s reputation system. In: NBER Workshop on Empirical Studies of Electronic Commerce Paper (2000)Google Scholar
  11. 11.
    Resnick, P., Kuwabara, K., Zeckhauser, R., Friedman, E.: Reputation systems. Commun. ACM 43(12), 45–48 (2000)CrossRefGoogle Scholar
  12. 12.
    Sabater, J., Sierra, C.: REGREAT: a reputation model for gregarious societies (2001)Google Scholar
  13. 13.
    Pinto, T.: Decision Support for the Strategic Behaviour of Electricity Market Players. Doctorate Degree. University of Trás-os-Montes e Alto Douro (2016)Google Scholar
  14. 14.
    Pinto, T., Vale, Z., Praça, I., Solteiro, E.J., Lopes, F.: Decision support for energy contracts negotiation with game theory and adaptive learning. Energies 8, 9817–9842 (2015)CrossRefGoogle Scholar
  15. 15.
    Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artif. Intel. Rev. 24(1), 33–60 (2005)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jaime Rodriguez-Fernandez
    • 1
  • Tiago Pinto
    • 1
    • 2
    Email author
  • Francisco Silva
    • 1
  • Isabel Praça
    • 1
  • Zita Vale
    • 1
  • Juan Manuel Corchado
    • 2
  1. 1.GECAD – Research Group, Institute of EngineeringPolytechnic of Porto (ISEP/IPP)PortoPortugal
  2. 2.BISITEUniversity of Salamanca (US)SalamancaSpain

Personalised recommendations