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 …
Less is more: Simplified state-action space for deep reinforcement learning based HVAC control
S Murugesan, Z Jiang, MJ Risbeck, J Amores… - Proceedings of the 1st …, 2020 - dl.acm.org
How do we optimize heating, ventilation and air-conditioning (HVAC) systems for energy
cost and occupant comfort? How do we accomplish this in an automated fashion that adapts …
cost and occupant comfort? How do we accomplish this in an automated fashion that adapts …
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 …
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 …
Marco-multi-agent reinforcement learning based control of building hvac systems
S Nagarathinam, V Menon, A Vasan… - Proceedings of the …, 2020 - dl.acm.org
Optimal control of building heating, ventilation, air-conditioning (HVAC) equipment has
typically been based on rules and model-based predictive control (MPC). Challenges in …
typically been based on rules and model-based predictive control (MPC). Challenges in …
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 …
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 …
Mb2c: Model-based deep reinforcement learning for multi-zone building control
Reinforcement learning has been widely studied for controlling Heating, Ventilation, and Air
conditioning (HVAC) systems. Most of the existing works are focused on Model-Free …
conditioning (HVAC) systems. Most of the existing works are focused on Model-Free …
Gnu-rl: A precocial reinforcement learning solution for building hvac control using a differentiable mpc policy
Reinforcement learning (RL) was first demonstrated to be a feasible approach to controlling
heating, ventilation, and air conditioning (HVAC) systems more than a decade ago …
heating, ventilation, and air conditioning (HVAC) systems more than a decade ago …
Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control
Deep Reinforcement Learning (DRL) has started showing success in real-world applications
such as building energy optimization. Much of the research in this space utilized simulated …
such as building energy optimization. Much of the research in this space utilized simulated …