Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
[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] A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed
X Xu, H Yu, Q Sun, VWY Tam - Renewable and Sustainable Energy …, 2023 - Elsevier
Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …
building energy consumption. The complexity of its formation mechanism and the dynamic …
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 …
[HTML][HTML] A hybrid active learning framework for personal thermal comfort models
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …
responses to inform design and control decisions of buildings to achieve optimal …
[HTML][HTML] A systematic study on reinforcement learning based applications
K Sivamayil, E Rajasekar, B Aljafari, S Nikolovski… - Energies, 2023 - mdpi.com
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Improving energy flexibility and PV self-consumption for a tropical net zero energy office building
Building energy flexibility is crucial for improving the local consumption of renewable energy
and enhancing building self-sufficiency. The abundant solar energy resource in the tropics …
and enhancing building self-sufficiency. The abundant solar energy resource in the tropics …
Multi-agent deep reinforcement learning-based coordination control for grid-aware multi-buildings
Abstract In commercial buildings, Heat, Ventilation, and Air Conditioning (HVAC) systems
account for about 40–50% of total electricity usage, contributing to an economic burden on …
account for about 40–50% of total electricity usage, contributing to an economic burden on …
A systematic review of reinforcement learning application in building energy-related occupant behavior simulation
H Yu, VWY Tam, X Xu - Energy and Buildings, 2024 - Elsevier
The building and construction industry has consistently been a major contributor to energy
consumption and carbon emissions. With stochastic interactions between occupants and …
consumption and carbon emissions. With stochastic interactions between occupants and …
Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence
The application of mixed-mode ventilation (MMV) in the tropics is challenging, given its hot
and humid climate. Consequently, there are limited periods when operating in natural …
and humid climate. Consequently, there are limited periods when operating in natural …