Improving the resilience of power grids against typhoons with data-driven spatial distributionally robust optimization.
- DOI
- 10.1111/risa.13995
- Published
- 2022-07-08
- Container
- Risk Anal
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 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:10.1111/risa.13995,
title = {Improving the resilience of power grids against typhoons with data-driven spatial distributionally robust optimization.},
author = {Yin Z and Fang C and Yang H and Fang Y and Xie M.},
year = {2023},
journal = {Risk Anal},
doi = {10.1111/risa.13995},
url = {https://doi.org/10.1111/risa.13995}
}RIS
TY - JOUR TI - Improving the resilience of power grids against typhoons with data-driven spatial distributionally robust optimization. AU - Yin Z AU - Fang C AU - Yang H AU - Fang Y AU - Xie M. PY - 2023 JO - Risk Anal DO - 10.1111/risa.13995 UR - https://doi.org/10.1111/risa.13995 ER -
APA
Z, Y., C, F., H, Y., Y, F., & M., X. (2023). Improving the resilience of power grids against typhoons with data-driven spatial distributionally robust optimization.. Risk Anal. https://doi.org/10.1111/risa.13995
Source records
- europe-pmc · retrieved 2026-09-26T02:07:56.142Z
- hal · retrieved 2026-09-26T02:07:56.176Z