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 …
Improved residential energy management system using priority double deep Q-learning
In the current era, electricity demand has skyrocketed. Power grids have to face a lot of
uneven power demand daily. During a certain period in a day, the power demand peaks …
uneven power demand daily. During a certain period in a day, the power demand peaks …
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 …
DRL-HEMS: Deep reinforcement learning agent for demand response in home energy management systems considering customers and operators perspectives
AA Amer, K Shaban… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the smart grid and smart homes development, different data are made available,
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
[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 …
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 …
On-line building energy optimization using deep reinforcement learning
Unprecedented high volumes of data are becoming available with the growth of the
advanced metering infrastructure. These are expected to benefit planning and operation of …
advanced metering infrastructure. These are expected to benefit planning and operation of …
Reward shaping-based actor–critic deep reinforcement learning for residential energy management
Residential energy consumption continues to climb steadily, requiring intelligent energy
management strategies to reduce power system pressures and residential electricity bills …
management strategies to reduce power system pressures and residential electricity bills …
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 …
[PDF][PDF] Batch reinforcement learning for smart home energy management
H Berlink, AHR Costa - Twenty-Fourth International Joint Conference on …, 2015 - ijcai.org
Smart grids enhance power grids by integrating electronic equipment, communication
systems and computational tools. In a smart grid, consumers can insert energy into the …
systems and computational tools. In a smart grid, consumers can insert energy into the …