Energy management system for residential customers integrating Multi Agent Approach
dc.rights.license | open | en_US |
dc.contributor.author | TAKRITI, Mazen | |
dc.contributor.author | SKANDER-MUSTAPHA, Sondes | |
hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
dc.contributor.author | BOUSSAADA, Zina | |
dc.contributor.author | BELLAAJ, Najiba Mrabet | |
hal.structure.identifier | ESTIA INSTITUTE OF TECHNOLOGY | |
dc.contributor.author | CUREA, Octavian
ORCID: 0000-0002-5030-2088 IDREF: 68259131 | |
dc.date.accessioned | 2024-01-18T13:23:19Z | |
dc.date.available | 2024-01-18T13:23:19Z | |
dc.date.issued | 2023-02-20 | |
dc.date.conference | 2022-10-26 | |
dc.identifier.uri | oai:crossref.org:10.1109/cistem55808.2022.10043992 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/187335 | |
dc.description.abstractEn | The paper deals with an Energy Management System of a micro-grid feeding a community of several residential buildings. The proposed micro-grid includes a photovoltaic energy production and a storage system based on batteries. The energy management system object is to optimize the main grid energy efficiency. To ensure the concept of management decentralization, we propose in this study the integration of an Artificial Intelligence Algorithm: The Multi Agent Systems. A specific agent is dedicated to each Micro-Grid component. Physical agents using Raspberry Pi are also presented and the communication between the different agents is insured by Wi-Fi technology.The simulation results of Micro-Grid based Multi Agent Systems management are mentioned and a porotype of experimental exchange between two physical agents is also propose. | |
dc.language.iso | EN | en_US |
dc.publisher | IEEE | en_US |
dc.source | crossref | |
dc.subject.en | Energy Management | |
dc.subject.en | Multi Agent System | |
dc.subject.en | Raspberry Pi | |
dc.subject.en | Micro-grid | |
dc.subject.en | Residential load profile | |
dc.title.en | Energy management system for residential customers integrating Multi Agent Approach | |
dc.type | Communication dans un congrès | en_US |
dc.identifier.doi | 10.1109/cistem55808.2022.10043992 | en_US |
dc.subject.hal | Sciences de l'ingénieur [physics] | en_US |
bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | Bordeaux INP | en_US |
bordeaux.institution | Bordeaux Sciences Agro | en_US |
bordeaux.conference.title | 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) | en_US |
bordeaux.country | tn | en_US |
bordeaux.title.proceeding | 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) | en_US |
bordeaux.conference.city | Tunis | en_US |
bordeaux.import.source | dissemin | |
hal.identifier | hal-04403049 | |
hal.version | 1 | |
hal.date.transferred | 2024-01-18T13:23:21Z | |
hal.invited | oui | en_US |
hal.proceedings | oui | en_US |
hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | true | |
workflow.import.source | dissemin | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2023-02-20&rft.au=TAKRITI,%20Mazen&SKANDER-MUSTAPHA,%20Sondes&BOUSSAADA,%20Zina&BELLAAJ,%20Najiba%20Mrabet&CUREA,%20Octavian&rft.genre=unknown |
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