Multi Agent Architecture For Smart Building Energy Management
| Autor: | Octavian Curea, Alvaro Llaria, Paolo Finotto, Christophe Merlo, Zina Boussaada, Guillaume Terrasson |
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| Přispěvatelé: | University of the Basque Country [Bizkaia] (UPV/EHU), Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université de Tunis El Manar (UTM), ESTIA Recherche, Ecole Supérieure des Technologies Industrielles Avancées (ESTIA) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
[SPI.OTHER]Engineering Sciences [physics]/Other
Microgrid energy management Computer science business.industry Energy management Multi-agent system Distributed computing Multi Agent System sensors actuators 7. Clean energy Smart building Data modeling Real-time Control System Relational model Systems architecture Agent architecture business Building automation |
| Zdroj: | 2020 6th IEEE Congress on Information Science and Technology (CiSt) 2020 6th IEEE Congress on Information Science and Technology (CiSt), Jun 2021, Agadir-Essaouira, Morocco. pp.455-460, ⟨10.1109/CiSt49399.2021.9357185⟩ CIST |
| DOI: | 10.1109/CiSt49399.2021.9357185⟩ |
| Popis: | International audience; The aim of the work presented in this paper is the energy management in residential microgrids. The study focuses on Multi Agent System approach based on sensors and actuators network. The system operation requires a large amount of data both for its architectural description and for its real time control. Dealing with this, the fundamental step in the energy management is the organization of data in order to construct the suitable relational database model. The second step is to analyze the system architecture and identify the agents to use for the system. When data are structured and Multi Agent System is modelled, the energy management algorithms are developed and validated taking into account the data availability and the agents properties. |
| Databáze: | OpenAIRE |
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