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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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Pubblicato in:Sensors (Basel)
Autori principali: Lee, Sangyoon, Choi, Dae-Hyun
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7180495/
https://ncbi.nlm.nih.gov/pubmed/32290345
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072157
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