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Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach

This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed energy resources (DERs) including an energy storage system (ESS) and an electric vehicle (EV). Compared to Q-learning algorithms based on a d...

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Principais autores: Sangyoon Lee, Dae-Hyun Choi
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-04-01
coleção:Sensors
Assuntos:
home energy management
deep reinforcement learning
smart home appliance
energy storage system
electric vehicle
Acesso em linha:https://www.mdpi.com/1424-8220/20/7/2157
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