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 …

Predictive control offers significant advantages in nonlinear control, high thermal inertia, and
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …

Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …

Air conditioners in residential buildings often rely on local feedback control to regulate the
indoor temperature, where the unit is cycled on and off by comparing the actual temperature …

This paper presents a review of the application of model predictive control strategies to
active thermal energy storage systems. To date, model predictive control has been used to …

Actively controlling a building's heating, ventilation, and air conditioning (HVAC) system can
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …

This study presents an optimization algorithm for Model Predictive Control (MPC) of the
HVAC systems in multi-family residential buildings assessing the performance of four …

The rising demands for comfort alongside energy conservation underscore the importance
of intelligent air conditioning control systems. Model Predictive Control (MPC) stands out as …

In recent years, environmental concerns about climate change and global warming have
encouraged countries to increase investment in renewable energies. As the penetration of …

Air-to-water heat pumps are regarded as a fundamental part of many proposed climate
action plans in heating dominated climates. However, individual studies have concluded …