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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Detalles Bibliográficos
Autores principales: Lee, Sangyoon, Choi, Dae-Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180495/
https://www.ncbi.nlm.nih.gov/pubmed/32290345
http://dx.doi.org/10.3390/s20072157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180495/
https://www.ncbi.nlm.nih.gov/pubmed/32290345
http://dx.doi.org/10.3390/s20072157

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