Probabilistic framework for assessing the vulnerability of power distribution infrastructures under extreme wind conditions
Bibliographic Data
| ID | 21232307 |
|---|---|
| Authors | Seulbi Lee (0000-0003-1267-1541, Texas A&M University), Youngjib Ham (0000-0001-7157-4878, Texas A&M University, corresponding author) |
| Year | 2021 |
| Volume | 65 |
| Pages | 102587 |
| Publication date | 2021-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2020.102587 |
| OpenAlex | W3104186591 |
| Language | EN |
| Citations received | 7 |
| References cited | 34 |
Catastrophic failure · Computer security · Electrical engineering · Extreme weather · Fragility · Probabilistic logic · Probability distribution · Reliability engineering · Statistics · Wind power · Computer Science · Engineering · Infrastructure Resilience and Vulnerability Analysis · Lightning and Electromagnetic Phenomena · Mathematics · Wind and Air Flow Studies
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| Citations per year | 1.75 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |