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
- 2026-05-04
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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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 = {Yuxuan Chen},
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 - Yuxuan Chen PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-51338-9 UR - https://doi.org/10.1038/s41598-026-51338-9 ER -
APA
Chen, Y. (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
- crossref · retrieved 2026-09-25T15:03:59.260Z