Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …

Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

In a smart building, physical and computational elements are integrated to create an
environment that is energy-efficient, comfortable, and safe for its occupants. The design and …

This paper presents a distributed Model Predictive Control (MPC) approach for multi-zone
building energy systems based on nonlinear Modelica controller models. The method …

Renewable energy (RE) generation systems are rapidly being deployed on the grid. In
parallel, electrified devices are quickly being added to the grid, introducing additional …

In the background of the continued integration of renewable energy sources (RES) and the
increasing flexibility on the demand side, the diversity and complexity of new technologies …

Abstract Model predictive control (MPC) strategies can be applied to the coordination of
energy hubs to reduce their energy consumption. Despite the effectiveness of these …

In recent years the concept of the Internet of Things (IoT) has evolved to connect commercial
gadgets together with the medical field to facilitate an unprecedented range of accessibility …

This paper proposes a model predictive control (MPC) approach incorporated with machine
learning to control the energy consumption and occupants' comfort (thermal and visual …

The conventional multi-zone HVAC (Heating Ventilation and Air Conditioning) system
includes a lot of Variable Air Volume (VAV) boxes to regulate the corresponding zone …