AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2009
Cirrincione, Maurizio; Cossentino, Massimo; Gaglio, Salvatore; Hilaire, Vincent; Koukam, Abderrafiaa; Pucci, Marcello; Sabatucci, Luca; Vitale, Giampaolo
Intelligent Energy Management System Proceedings Article
In: 2009 7th IEEE International Conference on Industrial Informatics, pp. 232–237, IEEE, 2009, ISBN: 978-1-4244-3759-7.
Abstract | Links | BibTeX | Tags: Decision-making mechanism, Intelligent energy management, Multi agent systems
@inproceedings{cirrincioneIntelligentEnergyManagement2009,
title = {Intelligent Energy Management System},
author = { Maurizio Cirrincione and Massimo Cossentino and Salvatore Gaglio and Vincent Hilaire and Abderrafiaa Koukam and Marcello Pucci and Luca Sabatucci and Giampaolo Vitale},
doi = {10.1109/INDIN.2009.5195809},
isbn = {978-1-4244-3759-7},
year = {2009},
date = {2009-01-01},
booktitle = {2009 7th IEEE International Conference on Industrial Informatics},
pages = {232--237},
publisher = {IEEE},
abstract = {Energy management is nowadays a subject of great importance and complexity. It consists in choosing among a set of sources able to produce energy that will give energy to a set of loads by minimising losses and costs. The sources and loads are heterogeneous, distributed and the reaction of the system, the choice of sources, must be done in real-time to avoid power outage. The goal of this paper is to present a system able to selfregulate a heterogeneous set of power sources and loads organised as a coherent group of entities that is called microgrid, in order to optimize several criteria such as: cost and efficiency. This system is based upon the Multi-Agent Systems paradigm. Each micro-grid entity is modelled as an autonomous agent able to interact and with it owns decision making mechanism. It takes into account the characteristics of the source or load types it belongs to and self-organizes with other agents in order to globally optimize the given criteria.},
keywords = {Decision-making mechanism, Intelligent energy management, Multi agent systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Energy management is nowadays a subject of great importance and complexity. It consists in choosing among a set of sources able to produce energy that will give energy to a set of loads by minimising losses and costs. The sources and loads are heterogeneous, distributed and the reaction of the system, the choice of sources, must be done in real-time to avoid power outage. The goal of this paper is to present a system able to selfregulate a heterogeneous set of power sources and loads organised as a coherent group of entities that is called microgrid, in order to optimize several criteria such as: cost and efficiency. This system is based upon the Multi-Agent Systems paradigm. Each micro-grid entity is modelled as an autonomous agent able to interact and with it owns decision making mechanism. It takes into account the characteristics of the source or load types it belongs to and self-organizes with other agents in order to globally optimize the given criteria.