Multi-agent coordination and uncertainty adaptation in deep learning-assisted hierarchical optimization for renewable-dominated distribution networks.
- DOI
- 10.1038/s41598-026-35945-0
- Published
- 2026 Jan 13
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-35945-0,
title = {Multi-agent coordination and uncertainty adaptation in deep learning-assisted hierarchical optimization for renewable-dominated distribution networks.},
author = {Zheng Y and Li H and Wang S and Tan Z and Jiang X and Li P and Jiang Y and Zhang H},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-35945-0},
url = {https://doi.org/10.1038/s41598-026-35945-0}
}RIS
TY - JOUR TI - Multi-agent coordination and uncertainty adaptation in deep learning-assisted hierarchical optimization for renewable-dominated distribution networks. AU - Zheng Y AU - Li H AU - Wang S AU - Tan Z AU - Jiang X AU - Li P AU - Jiang Y AU - Zhang H PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-35945-0 UR - https://doi.org/10.1038/s41598-026-35945-0 ER -
APA
Y, Z., H, L., S, W., Z, T., X, J., P, L., Y, J., & H, Z. (2026). Multi-agent coordination and uncertainty adaptation in deep learning-assisted hierarchical optimization for renewable-dominated distribution networks.. Scientific reports. https://doi.org/10.1038/s41598-026-35945-0
Source records
- pubmed · retrieved 2026-09-27T10:27:56.147Z