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Authors: Sergei Kozhevnikov 1 ; Petr Skobelev 2 and Miroslav Svítek 3

Affiliations: 1 Czech Institute of Informatics, Robotics and Cybernetics Jugoslávských partyzánů 1580/3, Prague 6, Czech Republic ; 2 Samara State Technical University, Molodogvardeyskaya street 244, 443100, Samara, Russian Federation ; 3 Czech Technical University in Prague, Faculty of Transportation Sciences, Konviktska 20, Prague 1, Czech Republic

Keyword(s): Multiagent Planning, Smart Grid, Utility Provision, Real-time, Ontology.

Abstract: The intensive economic and social development of smart cities faces the constraints of stable utility provision. This paper presents a multiagent client-centric smart grid management system for integrated gas, heat and electricity networks. The system is based on the new approach of agent’s negotiation implementing the strategies of straight and reverse recursion planning. It can be used as part of the Smart grid and Micro grid concepts to reduce the price for consumers and decrease the negative impact of peak loads for the suppliers. This approach corresponds to the fundamental principles of modern complexity theory, which uses the fundamental principles of self-organization and evolution inherent in the natural world.

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Paper citation in several formats:
Kozhevnikov, S.; Skobelev, P. and Svítek, M. (2022). Multiagent Resource Planning System for Utility Provision. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 433-441. DOI: 10.5220/0010990600003116

@conference{icaart22,
author={Sergei Kozhevnikov. and Petr Skobelev. and Miroslav Svítek.},
title={Multiagent Resource Planning System for Utility Provision},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2022},
pages={433-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010990600003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Multiagent Resource Planning System for Utility Provision
SN - 978-989-758-547-0
IS - 2184-433X
AU - Kozhevnikov, S.
AU - Skobelev, P.
AU - Svítek, M.
PY - 2022
SP - 433
EP - 441
DO - 10.5220/0010990600003116
PB - SciTePress