This paper presents a model predictive control (MPC)-based reinforcement learning (RL)
approach for a home energy management system (HEMS). The house consists of an air-to …

With the increased amount of volatile renewable energy sources connected to the electricity
grid, and the phase-out of fossil fuel based power plants, there is an increased need for …

Radiant floor heating (RFH) is an advanced technology that can couple with renewable low-
temperature sources and improve occupant thermal comfort. However, due to the large …

This paper presents a reinforcement learning-based observer/controller using Moving
Horizon Estimation (MHE) and Model Predictive Control (MPC) schemes where the models …

This paper presents a comparative analysis of different modeling and control techniques that
can be used to tackle the energy efficiency and management problems in buildings. Multiple …

Optimising operation and control of buildings' electric loads is essential to mitigate peak
demand and adapt to intermittent production. Predictive control has been applied to building …

This paper presents a reinforcement learning-based observer/controller using Moving
Horizon Estimation (MHE) and Model Predictive Control (MPC) schemes where the models …

A new Reinforcement Learning (RL) algorithm based on Model Predictive Control (MPC)
has been recently proposed in which the optimal state (-action) value function and the …

The heating and cooling of buildings are responsible for a significant share of the global
final energy consumption and CO2 emissions. At the same time, buildings and districts with …

Face au contexte de tension sur le réseau électrique provoquée par la demande de pointe
et de la transition énergétique et écologique où le bâtiment est au coeur des considérations …