Andrea Staid
Biographic Data
| ID | 7993110 |
|---|---|
| NAME | Andrea Staid |
| GIVEN NAMES | Andrea |
| FAMILY NAME | Staid |
| SIGNATURE | STAID A |
| AFFILIATIONS | Electric Power Research Institute |
| ORCID | 0000-0001-6125-5814 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Projected increases in tropical cyclone-induced U.S. electric power outage risk
While power outages caused by tropical cyclones (TCs) already pose a great threat to coastal communities, how—and why—these risks will change in a warming climate is poorly understood. To address this need, we develop a robust machine learning model to capture TC-induced power outage risk. When applied to 900 000 synthetic TCs downscaled from simulated historical and future climate conditions under a strong warming scenario, we find outage risk i…
Can socio-economic indicators of vulnerability help predict spatial variations in the duration and severity of power outages due to tropical cyclones
Tropical cyclones are the leading cause of major power outages in the U.S., and their effects can be devastating for communities. However, few studies have holistically examined the degree to which socio-economic variables can explain spatial variations in disruptions and reveal potential inequities thereof. Here, we apply machine learning techniques to analyze 20 tropical cyclones and predict county-level outage duration and percentage of custom…
No prominent works on this page.
Can socio-economic indicators of vulnerability help predict spatial variations in the duration and severity of power outages due to tropical cyclones
Tropical cyclones are the leading cause of major power outages in the U.S., and their effects can be devastating for communities. However, few studies have holistically examined the degree to which socio-economic variables can explain spatial variations in disruptions and reveal potential inequities thereof. Here, we apply machine learning techniques to analyze 20 tropical cyclones and predict county-level outage duration and percentage of custom…
Projected increases in tropical cyclone-induced U.S. electric power outage risk
While power outages caused by tropical cyclones (TCs) already pose a great threat to coastal communities, how—and why—these risks will change in a warming climate is poorly understood. To address this need, we develop a robust machine learning model to capture TC-induced power outage risk. When applied to 900 000 synthetic TCs downscaled from simulated historical and future climate conditions under a strong warming scenario, we find outage risk i…
Environmental Science (2 works) · Meteorology (2 works) · Tropical and Extratropical Cyclones Research (2 works) · Tropical cyclone (2 works) · Atmospheric sciences (1 work) · Climate variability and models (1 work) · Climatology (1 work) · Computer Science (1 work) · Computer security (1 work) · Disaster Management and Resilience (1 work)