Smart home is a habitation that has been outfitted with technological solutions that are
intended to provide people with services that are suited to their needs. The purpose of this …

Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …

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 …

The steep rise in reinforcement learning (RL) in various applications in energy as well as the
penetration of home automation in recent years are the motivation for this article. It surveys …

Heating, ventilation, and air conditioning (HVAC) energy consumption now accounts for a
major portion of energy use for buildings. Therefore, finding the optimal energy-saving …

The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …

This paper investigates a Local Strategy-Driven Multi-Agent Deep Deterministic Policy
Gradient (LSD-MADDPG) method for demand-side energy management systems (EMS) in …

Smart homes are structural parts of the smart grid, since they contain controllable devices
and energy management systems. In this work, we propose a reinforcement learning (RL) …

In order to save users' electricity costs, this paper proposes an optimized management
method for the home energy management system. Firstly, a household power grid is …

Buildings are responsible for 30% oof the world's energy consumption, about half of which is
consumed by Heating, Ventilation, and Air Conditioning (HVAC) systems. Intelligent control …