An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management
Most existing methods for controlling the energy consumption of air conditioning (AC), focus
on either scheduling the switching (on/off) of compressors or optimizing the overall energy …
on either scheduling the switching (on/off) of compressors or optimizing the overall energy …
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 …
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 …
ED-DQN: An event-driven deep reinforcement learning control method for multi-zone residential buildings
Q Fu, Z Li, Z Ding, J Chen, J Luo, Y Wang, Y Lu - Building and Environment, 2023 - Elsevier
Abstract Residential Heating, Ventilation, and Air conditioning (HVAC) systems are
responsible for a significant amount of energy consumption, but their management is …
responsible for a significant amount of energy consumption, but their management is …
Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach
With global warming intensifying and resource conflicts escalating, the world is undergoing
a transformative shift toward sustainable practices and energy-efficient solutions. With more …
a transformative shift toward sustainable practices and energy-efficient solutions. With more …
[HTML][HTML] Deep reinforcement learning for home energy management system control
The use of machine learning techniques has been proven to be a viable solution for smart
home energy management. These techniques autonomously control heating and domestic …
home energy management. These techniques autonomously control heating and domestic …
Building HVAC control with reinforcement learning for reduction of energy cost and demand charge
Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan… - Energy and …, 2021 - Elsevier
Energy efficiency remains a significant topic in the control of building heating, ventilation,
and air-conditioning (HVAC) systems, and diverse set of control strategies have been …
and air-conditioning (HVAC) systems, and diverse set of control strategies have been …
Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach
Indoor environmental quality is an important issue since people spend most of their time
indoors. This paper aims to develop an autonomous indoor environment management …
indoors. This paper aims to develop an autonomous indoor environment management …
A review of deep reinforcement learning for smart building energy management
Global buildings account for about 30% of the total energy consumption and carbon
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
Home energy recommendation system (hers): A deep reinforcement learning method based on residents' feedback and activity
Smart home appliances can take command and act intelligently, making them suitable for
implementing optimization techniques. Artificial intelligence (AI) based control of these smart …
implementing optimization techniques. Artificial intelligence (AI) based control of these smart …