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.