Households are responsible for 70% of CO 2 emissions (directly and indirectly). While
households as agents of change increasingly become a crucial element in energy …

Existing research studies on home automation systems mostly conserve energy by modeling
the occupancy of users within home. Some others apply statistical approaches on the survey …

Changing residential energy demand can play an essential role in transitioning to a green
economy. Environmental psychology suggests that behavioral changes regarding energy …

In the last decade, instigated by the Paris agreement and United Nations Climate Change
Conferences (COP22 and COP23), the efforts to limit temperature increase to 1.5° C above …

Future electricity distribution grids will host a considerable share of variable renewable
energy sources and local storage resources. Moreover, they will face new load structures …

Building design involves many challenges and requires to take into account the interaction
between the building and the users. Different occupant behaviour models implemented with …

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 …

The manual shift of residential wet appliances (dishwashers and washing machines) in
French households that have subscribed to a Time of Use (ToU) tariff represents a flexibility …

The growing interest for decentralized production of renewable energies calls for new
market approaches. In this context, the blockchain is considered as a key technology for …

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 …