A carregar...
Privacy-Preserving Energy Management of a Shared Energy Storage System for Smart Buildings: A Federated Deep Reinforcement Learning Approach
This paper proposes a privacy-preserving energy management of a shared energy storage system (SESS) for multiple smart buildings using federated reinforcement learning (FRL). To preserve the privacy of energy scheduling of buildings connected to the SESS, we present a distributed deep reinforcement...
Na minha lista:
| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8309780/ https://ncbi.nlm.nih.gov/pubmed/34300637 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21144898 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|