Collective self-consumption (CSC) is often presented as an approach for better energy
management. This paper proposes a multi-agent and multi-level model to analyze the …

Reducing our carbon footprint is one of the biggest challenges facing humanity in the current
millennium. In the last few years, researchers have focused their attention on balancing the …

Human behavior simulations in multi agent systems often lack data to calibrate and qualify
the representativeness of the simulated behaviors. In this paper, we will show that massive …

Training machine learning models to identify human behavior is a difficult yet essential task
to develop autonomous and adaptive systems such as smart homes. These models require …

Cet article présente une méthode de simulation de l'activité humaine qui s' appuie à la fois
sur un Système Multi-Agent (SMA) et sur des études statistiques. Il est possible de …

Simulating human behavior through virtual agents is a key feature to improve the credibility
of virtual environments (VE). For many use cases, such as daily activities data generation …

Efficient energy transition requires sophisticated energy management algorithms. Their
reliable evaluation is not a trivial task, mainly due to investment and user participation …

Abstract Knowledge workers, ie employees, students, and faculty, are an institution's
greatest asset. Nevertheless, studies show that: 1) Poor health, lost productivity and active …

This chapter presents the work of a French Activity-Centered Ergonomics (FACE) research
network within the electricity sector and puts it in perspective with the recent advances in …

Привычки играют колоссальную роль в нашей жизни. Многие элементы нашей
деятельности в той или иной степени можно отнести к привычным, поэтому тема …