Evaluating the adaptability of reinforcement learning based HVAC control for residential houses
K Kurte, J Munk, O Kotevska, K Amasyali, R Smith… - Sustainability, 2020 - mdpi.com
Intelligent Heating, Ventilation, and Air Conditioning (HVAC) control using deep
reinforcement learning (DRL) has recently gained a lot of attention due to its ability to …
reinforcement learning (DRL) has recently gained a lot of attention due to its ability to …
Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances
Building heating, ventilation, and air conditioning (HVAC) systems account for nearly half of
building energy consumption and 20% of total energy consumption in the US. Their …
building energy consumption and 20% of total energy consumption in the US. Their …
End-to-end deep reinforcement learning control for HVAC systems in office buildings
The heating, ventilation, and air conditioning (HVAC) system is a major energy consumer in
office buildings, and its operation is critical for indoor thermal comfort. While previous studies …
office buildings, and its operation is critical for indoor thermal comfort. While previous studies …
Multi-zone hvac control with model-based deep reinforcement learning
The application of reinforcement learning in controlling Heating, Ventilation, and Air
Conditioning (HVAC) systems has been extensively researched. Existing studies primarily …
Conditioning (HVAC) systems has been extensively researched. Existing studies primarily …
One for many: Transfer learning for building hvac control
The design of building heating, ventilation, and air conditioning (HVAC) system is critically
important, as it accounts for around half of building energy consumption and directly affects …
important, as it accounts for around half of building energy consumption and directly affects …
Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network
Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to
minimize the energy consumption of equipment while maintaining the thermal comfort of …
minimize the energy consumption of equipment while maintaining the thermal comfort of …
MF^ 2: Model-free reinforcement learning for modeling-free building HVAC control with data-driven environment construction in a residential building
M Wang, B Lin - Building and Environment, 2023 - Elsevier
Reinforcement Learning (RL) has advanced energy-efficient control of building Heating,
Ventilation and Air Conditioning (HVAC) systems. Constructing a suitable RL environment …
Ventilation and Air Conditioning (HVAC) systems. Constructing a suitable RL environment …
Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system
Reinforcement Learning (RL), a promising algorithm for the operational control of Heating,
Ventilation, and Air Conditioning (HVAC) systems, has garnered considerable attention and …
Ventilation, and Air Conditioning (HVAC) systems, has garnered considerable attention and …
Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system
Deep reinforcement learning (DRL) has become a popular optimal control method in recent
years. This is mainly because DRL has the potential to solve the optimal control problems …
years. This is mainly because DRL has the potential to solve the optimal control problems …
Safe HVAC control via batch reinforcement learning
Buildings account for 30% of energy use worldwide, and approxi-mately half of it is ascribed
to HVAC systems. Reinforcement Learning (RL) has improved upon traditional control …
to HVAC systems. Reinforcement Learning (RL) has improved upon traditional control …