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Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Smart buildings play a crucial role toward decarbonizing society, as globally buildings emit
about one-third of greenhouse gases. In the last few years, machine learning has achieved …
about one-third of greenhouse gases. In the last few years, machine learning has achieved …
[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
[HTML][HTML] Smart grid evolution: Predictive control of distributed energy resources—A review
As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …
control. Model predictive control (MPC) facilitates these functionalities for smart grid …
[HTML][HTML] Reinforced model predictive control (RL-MPC) for building energy management
Buildings need advanced control for the efficient and climate-neutral use of their energy
systems. Model predictive control (MPC) and reinforcement learning (RL) arise as two …
systems. Model predictive control (MPC) and reinforcement learning (RL) arise as two …
Optimizing building energy consumption in office buildings: A review of building automation and control systems and factors influencing energy savings
Abstract Building Automation and Control Systems (BACS) offer promising opportunities to
reduce building energy consumption, aligning with the European Union's climate goals. This …
reduce building energy consumption, aligning with the European Union's climate goals. This …
Ten questions concerning reinforcement learning for building energy management
As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …
Field demonstration and implementation analysis of model predictive control in an office HVAC system
Abstract Model Predictive Control (MPC) is a promising technique to address growing needs
for heating, ventilation, and air-conditioning (HVAC) systems to operate more efficiently and …
for heating, ventilation, and air-conditioning (HVAC) systems to operate more efficiently and …
Perovskite smart windows: the light manipulator in energy‐efficient buildings
Uncontrolled sunlight entering through windows contributes to substantial heating and
cooling demands in buildings, which leads to high energy consumption from the buildings …
cooling demands in buildings, which leads to high energy consumption from the buildings …
Modelling building HVAC control strategies using a deep reinforcement learning approach
Heating, ventilation, and air-conditioning (HVAC) systems are responsible for a
considerable proportion of total building energy consumption but are also vital for improved …
considerable proportion of total building energy consumption but are also vital for improved …
Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives
It is estimated that EU cultural heritage (CH) buildings represent 30% of the total existing
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …