With the increase in the integration of renewable sources, the home energy management
system (HEMS) has become a promising approach to improve grid energy efficiency and …

Home energy management system (HEMS) enables residents to actively participate in
demand response (DR) programs. It can autonomously optimize the electricity usage of …

To enhance the flexibility of the home load optimization dispatching strategy and ensure the
safe operation of the energy storage system, an optimization dispatching strategy for home …

The demand response (DR) strategy enables household users to actively optimize and
dispatch the household energy management system (HEMS), which may significantly …

This research addresses the pressing need for enhanced energy management in smart
homes, motivated by the inefficiencies of current methods in balancing power usage …

Under the background of the popularization of renewable energy sources and gas-fired
domestic devices in households, this paper proposes a joint load scheduling strategy for …

Home energy management system (HEMS) autonomously schedules the energy usage of
home electricity consuming devices to reduce the electricity cost based on real-time …

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 …

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 …

This paper presents a model-free dynamic optimal management strategy for a low-carbon
home energy management system (HEMS) based on deep reinforcement learning (DRL) …