Self-healing radial distribution network reconfiguration based on deep reinforcement learning
- DOI
- 10.1016/j.rineng.2024.102026
- Published
- 2024-06
- Container
- Results in Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.rineng.2024.102026,
title = {Self-healing radial distribution network reconfiguration based on deep reinforcement learning},
author = {Seungchan Jo and Jae-Young Oh and Yong Tae Yoon and Young Gyu Jin},
year = {2024},
journal = {Results in Engineering},
doi = {10.1016/j.rineng.2024.102026},
url = {https://doi.org/10.1016/j.rineng.2024.102026}
}RIS
TY - JOUR TI - Self-healing radial distribution network reconfiguration based on deep reinforcement learning AU - Seungchan Jo AU - Jae-Young Oh AU - Yong Tae Yoon AU - Young Gyu Jin PY - 2024 JO - Results in Engineering DO - 10.1016/j.rineng.2024.102026 UR - https://doi.org/10.1016/j.rineng.2024.102026 ER -
APA
Jo, S., Oh, J., Yoon, Y. T., & Jin, Y. G. (2024). Self-healing radial distribution network reconfiguration based on deep reinforcement learning. Results in Engineering. https://doi.org/10.1016/j.rineng.2024.102026
Source records
- crossref · retrieved 2026-09-25T12:11:01.186Z