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Cited by 64Infrastructure Resilience and Vulnerability AnalysisPower System Reliability and MaintenanceOptimal Power Flow Distribution

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Power outage prediction for natural hazards using synthetic power distribution systems

Zhai, Chengwei, Chen, Thomas Ying-jeh, White, Anna Grace, Guikema, Seth David·2021·Reliability Engineering & System Safety
DOI 10.1016/j.ress.2020.107348
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Research works printed but not linked: 38

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Metadata

Authors
Zhai, C., Chen, T. Y.-J., White, A. G., & Guikema, S. D.
Affiliations
University of Michigan (US)
Corresponding author
Zhai, Chengwei
ORCID
Venue
Reliability Engineering & System Safety
Publisher
Elsevier BV
Published
2021-04
Volume
208
Pages
107348
ISSN
0951-8320 (ISSN-L)
DOI
10.1016/j.ress.2020.107348
OpenAlex
W3108081744
Cited by
64
References
0
Citations by year
2026: 8 · 2025: 14 · 2024: 16 · 2023: 8 · 2022: 12 · 2021: 6
FWCI
3.80
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Reliability Engineering & System Safety (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
One Concern, Inc.
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Keywords
power outage prediction, natural hazards, fragility curves, power system reliability

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CoChat. (2026). Citation check: Power outage prediction for natural hazards using synthetic power distribution systems. https://app.cochat.ai/papers/10.1016/j.ress.2020.107348
The paper
Zhai, C., Chen, T. Y.-J., White, A. G., & Guikema, S. D. (2021). Power outage prediction for natural hazards using synthetic power distribution systems. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2020.107348