Residential energy management with deep reinforcement learning
A smart home with battery energy storage can take part in the demand response program.
With proper energy management, consumers can purchase more energy at off-peak hours …
With proper energy management, consumers can purchase more energy at off-peak hours …
Deep reinforcement learning for real-time energy management in smart home
G Wei, M Chi, ZW Liu, M Ge, C Li, X Liu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Energy management in the smart home can help reduce residential energy costs by
scheduling various energy consumption activities. However, accurately modeling factors …
scheduling various energy consumption activities. However, accurately modeling factors …
Optimization strategy based on deep reinforcement learning for home energy management
Y Liu, D Zhang, HB Gooi - CSEE Journal of Power and Energy …, 2020 - ieeexplore.ieee.org
With the development of a smart grid and smart home, massive amounts of data can be
made available, providing the basis for algorithm training in artificial intelligence …
made available, providing the basis for algorithm training in artificial intelligence …
[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 …
A home energy management approach using decoupling value and policy in reinforcement learning
Considering the popularity of electric vehicles and the flexibility of household appliances, it
is feasible to dispatch energy in home energy systems under dynamic electricity prices to …
is feasible to dispatch energy in home energy systems under dynamic electricity prices to …
A deep reinforcement learning based approach for home energy management system
Home energy management system (HEMS) enables residents to actively participate in
demand response (DR) programs. It can autonomously optimize the electricity usage of …
demand response (DR) programs. It can autonomously optimize the electricity usage of …
Deep reinforcement learning based home energy management system with devices operational dependencies
Advanced metering infrastructure and bilateral communication technologies facilitate the
development of the home energy management system in the smart home. In this paper, we …
development of the home energy management system in the smart home. In this paper, we …
Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region
The global development trend of building decentralized and low-carbon energy systems has
given rise to challenges in the demand side energy management. With the overwhelming …
given rise to challenges in the demand side energy management. With the overwhelming …
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 …
Autonomous household energy management using deep reinforcement learning
N Tsang, C Cao, S Wu, Z Yan, A Yousefi… - … and Innovation (ICE …, 2019 - ieeexplore.ieee.org
With the massive growth of smart meters and availability of data, there is a unique
opportunity to offer novel services to utility customers. The emergence of new technologies …
opportunity to offer novel services to utility customers. The emergence of new technologies …