Optimal protection coordination of DOCRs for microgrids using a hybrid deep reinforcement learning and metaheuristic optimization framework.
- DOI
- 10.1038/s41598-026-51338-9
- Published
- 2026 May 4
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-51338-9,
title = {Optimal protection coordination of DOCRs for microgrids using a hybrid deep reinforcement learning and metaheuristic optimization framework.},
author = {Chen Y},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-51338-9},
url = {https://doi.org/10.1038/s41598-026-51338-9}
}RIS
TY - JOUR TI - Optimal protection coordination of DOCRs for microgrids using a hybrid deep reinforcement learning and metaheuristic optimization framework. AU - Chen Y PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-51338-9 UR - https://doi.org/10.1038/s41598-026-51338-9 ER -
APA
Y, C. (2026). Optimal protection coordination of DOCRs for microgrids using a hybrid deep reinforcement learning and metaheuristic optimization framework.. Scientific reports. https://doi.org/10.1038/s41598-026-51338-9
Source records
- pubmed · retrieved 2026-11-10T13:09:45.837Z