MODAM: A modular agent-based modelling framework

F Boulaire; Mark Utting; R Drogemuller

doi:10.1109/SE4SG.2013.6596109

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MODAM: A modular agent-based modelling framework

Conference paper

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Peer reviewed

MODAM: A modular agent-based modelling framework

F Boulaire, Mark Utting and R Drogemuller

2013 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, pp.33-40

International Workshop on Software Engineering Challenges for the Smart Grid (SE4SG), 2nd (San Francisco, United States, 18-May-2013)

IEEE (Institute of Electrical and Electronics Engineers)

2013

DOI: https://doi.org/10.1109/SE4SG.2013.6596109

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Abstract

agent-based modelling

Designing the smart grid requires combining varied models. As their number increases, so does the complexity of the software. Having a well thought architecture for the software then becomes crucial. This paper presents MODAM, a framework designed to combine agent-based models in a flexible and extensible manner, using well known software engineering design solutions (OSGI specification [1] and Eclipse plugins [2]). Details on how to build a modular agent-based model for the smart grid are given in this paper, illustrated by an example for a small network. © 2013 IEEE.

Details

Title: MODAM: A modular agent-based modelling framework
Authors: F Boulaire (Author) - Queensland University of Technology
Mark Utting (Author) - Queensland University of Technology
R Drogemuller (Author) - Queensland University of Technology
Publication details: 2013 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, pp.33-40
Conference details: International Workshop on Software Engineering Challenges for the Smart Grid (SE4SG), 2nd (San Francisco, United States, 18-May-2013)
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
Date published: 2013
DOI: 10.1109/SE4SG.2013.6596109
Copyright note: Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99447764202621
Output Type: Conference paper
Research Statement: false

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