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Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

  • Gabriel Santos
  • Tiago Pinto
  • Isabel Praça
  • Zita Vale
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10423)

Abstract

This paper proposes the use of ontologies to enable information and knowledge exchange, to test different electricity market models and to allow players from different systems to interact in common market environments. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as the complex and dynamic electricity markets. The main drivers are the markets’ restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. An ontology to represent the concepts related to the Nord Pool Elspot market is proposed. It is validated through a case study considering the simulation of Elspot market. Results show that heterogeneous agents are able to effectively participate in the simulation by using the proposed ontologies to support their communications with the Nord Pool market operator.

Keywords

Electricity markets Multi-agent simulation Nord Pool Elspot market Semantic interoperability 

Notes

Acknowledgments

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 641794 (project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Gabriel Santos
    • 1
  • Tiago Pinto
    • 2
  • Isabel Praça
    • 1
  • Zita Vale
    • 1
  1. 1.GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and DevelopmentInstitute of Engineering - Polytechnic of Porto (ISEP/IPP)PortoPortugal
  2. 2.BISITE Research Group - University of SalamancaSalamancaSpain

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