Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side.

Sang J, Sun H, Kou L.

Open source

DOI
10.3390/s22062256
Published
2022-03-14
Container
Sensors (Basel)
Publisher
arXiv
Open access
yes

Credibility signals

uncertain Score 61/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s22062256,
  title = {Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side.},
  author = {Sang J and  Sun H and  Kou L.},
  year = {2022},
  journal = {Sensors (Basel)},
  doi = {10.3390/s22062256},
  url = {https://doi.org/10.3390/s22062256}
}

RIS

TY  - JOUR
TI  - Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side.
AU  - Sang J
AU  -  Sun H
AU  -  Kou L.
PY  - 2022
JO  - Sensors (Basel)
DO  - 10.3390/s22062256
UR  - https://doi.org/10.3390/s22062256
ER  -

APA

J, S., H, S., & L., K. (2022). Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side.. Sensors (Basel). https://doi.org/10.3390/s22062256

Source records