Occupancy-based HVAC control systems in buildings: A state-of-the-art review

M Esrafilian-Najafabadi, F Haghighat - Building and Environment, 2021 - Elsevier
Intelligent buildings have drawn considerable attention due to rapid progress in
communication and information technologies. These buildings can utilize current and …

Reinforcement learning for demand response: A review of algorithms and modeling techniques

JR Vázquez-Canteli, Z Nagy - Applied energy, 2019 - Elsevier
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

[HTML][HTML] Reinforcement learning for whole-building HVAC control and demand response

D Azuatalam, WL Lee, F de Nijs, A Liebman - Energy and AI, 2020 - Elsevier
This paper proposes a novel reinforcement learning (RL) architecture for the efficient
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …

Deep reinforcement learning for building HVAC control

T Wei, Y Wang, Q Zhu - Proceedings of the 54th annual design …, 2017 - dl.acm.org
Buildings account for nearly 40% of the total energy consumption in the United States, about
half of which is used by the HVAC (heating, ventilation, and air conditioning) system …

Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning

Z Zhang, A Chong, Y Pan, C Zhang, KP Lam - Energy and Buildings, 2019 - Elsevier
Whole building energy model (BEM) is a physics-based modeling method for building
energy simulation. It has been widely used in the building industry for code compliance …

On heat pumps in smart grids: A review

D Fischer, H Madani - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
This paper investigates heat pump systems in smart grids, focussing on fields of application
and control approaches that have emerged in academic literature. Based on a review of …

A review of reinforcement learning for autonomous building energy management

K Mason, S Grijalva - Computers & Electrical Engineering, 2019 - Elsevier
The area of building energy management has received a significant amount of interest in
recent years. This area is concerned with combining advancements in sensor technologies …

Modeling occupant behavior in buildings

S Carlucci, M De Simone, SK Firth, MB Kjærgaard… - Building and …, 2020 - Elsevier
In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

JR Vázquez-Canteli, S Ulyanin, J Kämpf… - Sustainable cities and …, 2019 - Elsevier
Buildings account for 35% of the global final energy demand. Efficiency improvements and
advanced control strategies have a significant impact in the reduction of energy costs and …

A review of reinforcement learning methodologies for controlling occupant comfort in buildings

M Han, R May, X Zhang, X Wang, S Pan, D Yan… - Sustainable cities and …, 2019 - Elsevier
Classical building control systems are becoming vulnerable with increasing complexities in
contemporary built environments and energy systems. Due to this, the reinforcement …