# Power outage prediction for natural hazards using synthetic power distribution systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/power-outage-prediction-for-natural-hazards-using-synthetic-power-distribution/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chengwei Zhai,Thomas Ying‐Jeh Chen,Anna White,Seth D. Guikema |
| Citations | 62 |
| DOI | 10.1016/j.ress.2020.107348 |
| Fields | Engineering,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3108081744 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Chengwei Zhai](https://scholariq.org/researchers/chengwei-zhai/)

## Paper journal

- [Reliability Engineering & System Safety](https://scholariq.org/journals/reliability-engineering-and-system-safety/)

## Paper primary topic

- [Power System Reliability and Maintenance](https://scholariq.org/topics/power-system-reliability-and-maintenance/)

## Paper topics

- [Power System Reliability and Maintenance](https://scholariq.org/topics/power-system-reliability-and-maintenance/)
- [Lightning and Electromagnetic Phenomena](https://scholariq.org/topics/lightning-and-electromagnetic-phenomena/)
- [Optimal Power Flow Distribution](https://scholariq.org/topics/optimal-power-flow-distribution/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.