A review of recent advances on reinforcement learning for smart home energy management
Smart home energy management is one of the core problems in modern power grids. With
the increasing adoption of different types of electric appliances and on-site intermittent …
the increasing adoption of different types of electric appliances and on-site intermittent …
[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 …
Electricity pricing aware deep reinforcement learning based intelligent hvac control
K Kurte, J Munk, K Amasyali, O Kotevska… - Proceedings of the 1st …, 2020 - dl.acm.org
Recently, deep reinforcement learning (DRL) based intelligent control of Heating,
Ventilation, and Air Conditioning (HVAC) has gained a lot of attention due to DRL's ability to …
Ventilation, and Air Conditioning (HVAC) has gained a lot of attention due to DRL's ability to …
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 …
Home energy management algorithm based on deep reinforcement learning using multistep prediction
N Kodama, T Harada, K Miyazaki - IEEE access, 2021 - ieeexplore.ieee.org
In recent years, home energy management systems (HEMS), which enable the automatic
control of electrical equipment and home appliances, have been attracting attention as a …
control of electrical equipment and home appliances, have been attracting attention as a …
Real-time energy management in smart homes through deep reinforcement learning
J Aldahmashi, X Ma - IEEE Access, 2024 - ieeexplore.ieee.org
In light of the growing prevalence of distributed energy resources, energy storage systems
(ESs), and electric vehicles (EVs) at the residential scale, home energy management (HEM) …
(ESs), and electric vehicles (EVs) at the residential scale, home energy management (HEM) …
Deep reinforcement learning for residential HVAC control with consideration of human occupancy
The Artificial Intelligence (AI) development described herein uses model-free Deep
Reinforcement Learning (DRL) to minimize energy cost during residential heating …
Reinforcement Learning (DRL) to minimize energy cost during residential heating …
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Demand-side flexibility is gaining importance as a crucial element in the energy transition
process. Accounting for about 25% of final energy consumption globally, the residential …
process. Accounting for about 25% of final energy consumption globally, the residential …
[PDF][PDF] Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method for Electricity Optimization in Smart Homes
Home Energy Recommendation System (HERS): A Deep Reinforcement Learning Method for
Electricity Optimization in Smart Homes Page 1 P osted on 11 Sep 2020 — CC-BY-NC-SA 4 …
Electricity Optimization in Smart Homes Page 1 P osted on 11 Sep 2020 — CC-BY-NC-SA 4 …
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 …