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Authors: Thomas Huraux 1 ; Nicolas Sabouret 2 and Yvon Haradji 3

Affiliations: 1 EDF Research & Development, University of Paris-Sud and Pierre and Marie Curie University, France ; 2 University of Paris-Sud, France ; 3 EDF Research & Development, France

Keyword(s): Multi-agent Systems, Multi-level Modeling, Simulation, Electrical Consumption.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we illustrate how multi-agent multi-level modeling can help energy experts to better understand and anticipate residential energy consumption. The problem we study is the anticipation of electricity consumption peaks. We explain in this context the benefit of the coexistence of microscopic (human activity) and macroscopic (social characteristics, overall consumption) levels of representation. We present briefly the SIMLAB model (Huraux et al., 2014) that extends the SMACH simulator (Amouroux et al., 2013) with coexisting levels on different modeling axes. We then present a model of the households activity and its electrical consumption consistent with energy experts’ observations in the residential sector. We show the impact of different social factors, such as individual sensitivity to price or to personal comfort, on the apparition of peaks on the consumption. We illustrate the contribution of multi-level modeling in the understanding of macroscopic phenomena.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Huraux, T.; Sabouret, N. and Haradji, Y. (2015). Study of Human Activity Related to Residential Energy Consumption Using Multi-level Simulations. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-073-4; ISSN 2184-433X, pages 133-140. DOI: 10.5220/0005197401330140

@conference{icaart15,
author={Thomas Huraux. and Nicolas Sabouret. and Yvon Haradji.},
title={Study of Human Activity Related to Residential Energy Consumption Using Multi-level Simulations},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={133-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005197401330140},
isbn={978-989-758-073-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Study of Human Activity Related to Residential Energy Consumption Using Multi-level Simulations
SN - 978-989-758-073-4
IS - 2184-433X
AU - Huraux, T.
AU - Sabouret, N.
AU - Haradji, Y.
PY - 2015
SP - 133
EP - 140
DO - 10.5220/0005197401330140

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