An Intelligent Home Energy Management System Using Deep Reinforcement Learning
S Muneer, MB Alvi, M Zaheer - International Journal of Advanced …, 2023 - ijasc.com
Nowadays, Home energy management systems (HEMS) have more pathways to reduce
energy usage due to the growing interest in power and the development of smart networks …
energy usage due to the growing interest in power and the development of smart networks …
Intelligent residential energy management system using deep reinforcement learning
The rising demand for electricity and its essential nature in today's world call for intelligent
home energy management systems that can reduce energy usage. This article aims a novel …
home energy management systems that can reduce energy usage. This article aims a novel …
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 …
[HTML][HTML] Design and implementation of an indoor environment management system using a deep reinforcement learning approach
A Alferidi, M Alsolami, B Lami, SB Slama - Ain Shams Engineering Journal, 2023 - Elsevier
Abstract The Indoor Household Environment (IHE) has caught the attention of industry and
academia due to the substantial amount of time that families spend indoors. Domestic air …
academia due to the substantial amount of time that families spend indoors. Domestic air …
Deep learning-based energy inefficiency detection in the smart buildings
J Huang, DD Koroteev, M Rynkovskaya - … Computing: Informatics and …, 2023 - Elsevier
The operation of the heating, ventilation, and air conditioning (HVAC) system is essential for
the indoor thermal environment and is significant for energy consumers in commercial …
the indoor thermal environment and is significant for energy consumers in commercial …
[HTML][HTML] Implementation of home energy management system based on reinforcement learning
The implementation of machine learning methods in home energy management have been
shown to be a feasible alternative in the minimization of electricity cost. These methods …
shown to be a feasible alternative in the minimization of electricity cost. These methods …
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 …
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 …
Multi-agent-based decentralized residential energy management using Deep Reinforcement Learning
In smart grid, energy consumption has grown exponentially in residential houses, which
necessitates the adoption of demand response management. To alleviate and handle the …
necessitates the adoption of demand response management. To alleviate and handle the …
An advanced satisfaction-based home energy management system using deep reinforcement learning
Home energy management (HEM) systems optimize electricity demand of appliances
according to the price-based demand response (DR) programs. Undoubtedly, customer …
according to the price-based demand response (DR) programs. Undoubtedly, customer …