… Therefore, it is significant and urgent to develop novel smart building energy management
(… on deep reinforcement learning for home energy management,” CSEE J. Power Energy Syst.…

… 2) We propose an energy management algorithm to jointly schedule the ESS and HVAC
systems based on DDPG. Since the proposed algorithm makes decision simply based on the …

… of a deep reinforcement learning (DRL) algorithm for indoor and domestic hot water
temperature control, aiming to reduce energy consumption by optimizing the usage of PV energy …

… novel energy management approach for real-time scheduling of an MG considering the
uncertainty of the load demand, renewable energy, … Specifically, the MG energy management is …

… are expected to enable the home energy management system (HEMS) to … energy
management optimization strategy is proposed based on deep Qlearning (DQN) and double deep …

… of various deep reinforcement learning algorithms to enhance the energy management system
… We propose a novel microgrid model that consists of a wind turbine generator, an energy …

… management control of hybrid electric vehicles. In … energy management control based on
deep reinforcement learning. For the deep reinforcement learning based energy management …

… ABSTRACT Home energy management (HEM) systems optimize electricity demand of … In
this paper, an advanced satisfaction-based HEM system using deep reinforcement learning is …

… the energy management problem in the field of energy Internet … In this paper, a new energy
regulation issue is considered … Then, the practical energy management problem is formulated …

… ture in today’s world call for intelligent home energy management systems that can reduce
energy … Specifically, this article proposes a deep reinforcement learning model for demand …