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2. Multi Agent Architecture For Smart Building Energy Management

Author

Octavian Curea, Alvaro Llaria, Paolo Finotto, Christophe Merlo, Zina Boussaada, Guillaume Terrasson, University of the Basque Country [Bizkaia] (UPV/EHU), Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université de Tunis El Manar (UTM), ESTIA Recherche, and Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)

Subjects
[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
Abstract

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.

Published
2021

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