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[HTML][HTML] Applications of reinforcement learning in energy systems
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …
renewable energy technologies and improve efficiencies, leading to the integration of many …
Reinforcement learning for demand response: A review of algorithms and modeling techniques
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 …
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
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 …
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …
The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
State-of-the-art thermal comfort models for car cabin Environment
B Chen, Y Lian, L Xu, Z Deng, F Zhao, H Zhang… - Building and …, 2024 - Elsevier
The automotive industry has recently seen significant advancements, making cars a
dominant form of urban transportation. This development has led to increased focus on …
dominant form of urban transportation. This development has led to increased focus on …
Energy-efficient heating control for smart buildings with deep reinforcement learning
Buildings account for roughly 40% of the total energy consumption in the world, out of which
heating, ventilation, and air conditioning are the major contributors. Traditional heating …
heating, ventilation, and air conditioning are the major contributors. Traditional heating …
Cabin and battery thermal management of connected and automated HEVs for improved energy efficiency using hierarchical model predictive control
Incorporating traffic information in power management optimization process for electrified
and connected vehicles offers opportunities for improving fuel economy. Integrating the …
and connected vehicles offers opportunities for improving fuel economy. Integrating the …
Review of cabin thermal management for electrified passenger vehicles
The technical maturity and rapidly increasing market share of electrified vehicles have given
more importance to the cabin thermal management. Efficient thermal management has a key …
more importance to the cabin thermal management. Efficient thermal management has a key …
Computer vision-based smart HVAC control system for university classroom in a subtropical climate
To respond to the increasing demand for a comfortable, productive and energy efficient
study environment, the application of artificial intelligence technologies in the smart control …
study environment, the application of artificial intelligence technologies in the smart control …
[HTML][HTML] A review of reinforcement learning applications to control of heating, ventilation and air conditioning systems
Reinforcement learning has emerged as a potentially disruptive technology for control and
optimization of HVAC systems. A reinforcement learning agent takes actions, which can be …
optimization of HVAC systems. A reinforcement learning agent takes actions, which can be …