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 …

Air-to-water heat pumps are one of the most common and energy efficient heating systems
for buildings, particularly floor-heating plants. One way to further improve their effectiveness …

The interest in model predictive control (MPC) for buildings has grown in recent years due to
the widespread implementation of dynamic electricity tariffs, energy flexibility and distributed …

It is considered necessary to implement advanced controllers such as model predictive
control (MPC) to utilize the technical flexibility of a building polygeneration system to support …

Air-to-water heat pumps are quite often integrated with a hot-water tank, to better decouple
the generation from the delivery of heat in buildings and to improve the overall performance …

We present a solution for modeling and online identification for heating, ventilation, and air
conditioning (HVAC) control in buildings. Our approach comprises:(a) a resistance …

Data centers consume lots of energy to execute their computational workload and generate
heat that is mostly wasted. In this paper, we address this problem by considering heat reuse …

This paper describes the results of a pilot energy efficiency application, which is a part of the
European project Esmartcity. The pilot refers to a real building of Politecnico di Milano …

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 …

Air source heat pump (ASHP) systems exhibit non-linearity with significant inertia, posing
challenges to ensure its operational robustness and enhance energy efficiency. This study …