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The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Author

Listed:
  • Zheng Ma

    (Center for Health Informatics, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark)

  • Mette Jessen Schultz

    (Danish Energy Agency, Niels Bohrs Vej 8D, 6700 Esbjerg, Denmark)

  • Kristoffer Christensen

    (Center for Energy Informatics, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark)

  • Magnus Værbak

    (Center for Energy Informatics, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark)

  • Yves Demazeau

    (Laboratoire d’Informatique de Grenoble, Centre National de la Recherche Scientifique, 700 avenue Centrale, 38000 Grenoble, France)

  • Bo Nørregaard Jørgensen

    (Center for Energy Informatics, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark)

Abstract

Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to investigate literature on the application of ontology in multi-agent systems within the energy domain and map the key concepts underpinning these research areas. A scoping review of the existing literature on ontology for multi-agent systems in the energy domain is conducted. This paper presents an overview of the application of multi-agent systems (MAS) and ontologies in the energy domain with five aspects of the definition of agent and MAS; MAS applied in the energy domain, defined ontologies in the energy domain, MAS design methodology, and architectures, and the application of ontology in the MAS development. Furthermore, this paper provides a recommendation list for the ontology-driven multi-agent system development with the aspects of 1) ontology development process in MAS design, 2) detail design process and realization of ontology-driven MAS development, 3) open standard implementation and adoption, 4) inter-domain MAS development, and 5) agent listing approach.

Suggested Citation

  • Zheng Ma & Mette Jessen Schultz & Kristoffer Christensen & Magnus Værbak & Yves Demazeau & Bo Nørregaard Jørgensen, 2019. "The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review," Energies, MDPI, vol. 12(16), pages 1-31, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3200-:d:259353
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    References listed on IDEAS

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    Cited by:

    1. Kristoffer Christensen & Zheng Ma & Bo Nørregaard Jørgensen, 2021. "Technical, Economic, Social and Regulatory Feasibility Evaluation of Dynamic Distribution Tariff Designs," Energies, MDPI, vol. 14(10), pages 1-24, May.
    2. Edward Smith & Duane Robinson & Ashish Agalgaonkar, 2021. "Cooperative Control of Microgrids: A Review of Theoretical Frameworks, Applications and Recent Developments," Energies, MDPI, vol. 14(23), pages 1-34, December.
    3. Daniel Anthony Howard & Bo Nørregaard Jørgensen & Zheng Ma, 2023. "Multi-Method Simulation and Multi-Objective Optimization for Energy-Flexibility-Potential Assessment of Food-Production Process Cooling," Energies, MDPI, vol. 16(3), pages 1-27, February.
    4. Alexander Fishov & Anatoly Osintsev & Anvari Ghulomzoda & Andrey Marchenko & Sergey Kokin & Murodbek Safaraliev & Stepan Dmitriev & Inga Zicmane, 2023. "Decentralized Emergency Control of AC Power Grid Modes with Distributed Generation," Energies, MDPI, vol. 16(15), pages 1-22, July.
    5. Ruiqiu Yao & Yukun Hu & Liz Varga, 2023. "Applications of Agent-Based Methods in Multi-Energy Systems—A Systematic Literature Review," Energies, MDPI, vol. 16(5), pages 1-36, March.
    6. Adina Cretan & Cristina Nica & Carlos Coutinho & Ricardo Jardim-Goncalves & Ben Bratu, 2021. "An Intelligent System to Ensure Interoperability for the Dairy Farm Business Model," Future Internet, MDPI, vol. 13(6), pages 1-24, June.

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