Alper Yilmaz
Biographic Data
| ID | 9446703 |
|---|---|
| NAME | Alper Yilmaz |
| GIVEN NAMES | Alper |
| FAMILY NAME | Yilmaz |
| SIGNATURE | YILMAZ A |
| AFFILIATIONS | The Ohio State University |
| ORCID | 0000-0003-0755-2628 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Mapping power system inequities in Florida
While recent scholarship has expanded to analyze power outages across multiple hazard events, there remains a critical gap in quantifying system-level fragility to assess the robustness of power systems across diverse utility providers. Relying on outage counts without accounting for the non-linear relationship between hazard intensity and system performance can mask the true vulnerability of the system. To address this gap, this study examines d…
System outage fragility for power systems
This study introduces System Outage Fragility (SOF), a novel and robust data-driven framework for analyzing power system disparities by capturing system trends and behaviors across multiple extreme climatic events including hurricanes. Compared to traditional single-event metrics, SOF provides a comprehensive assessment of spatial vulnerabilities and system fragility by accounting for diverse hazard intensities, physical impacts, and outage dynam…
Socioeconomic disparities in hurricane-induced power outages
This study explores the importance of socioeconomic factors in hurricane-induced power outages in Florida. An XGBoost regression framework that incorporates a comprehensive feature set, including diverse socioeconomic factors, hurricane hazards, and physical exposure, is introduced. To reduce random deviations in importance observed in prior single hurricane studies, data for 11 Florida hurricanes is processed and analyzed, sourced from various s…
No prominent works on this page.
System outage fragility for power systems
This study introduces System Outage Fragility (SOF), a novel and robust data-driven framework for analyzing power system disparities by capturing system trends and behaviors across multiple extreme climatic events including hurricanes. Compared to traditional single-event metrics, SOF provides a comprehensive assessment of spatial vulnerabilities and system fragility by accounting for diverse hazard intensities, physical impacts, and outage dynam…
Socioeconomic disparities in hurricane-induced power outages
This study explores the importance of socioeconomic factors in hurricane-induced power outages in Florida. An XGBoost regression framework that incorporates a comprehensive feature set, including diverse socioeconomic factors, hurricane hazards, and physical exposure, is introduced. To reduce random deviations in importance observed in prior single hurricane studies, data for 11 Florida hurricanes is processed and analyzed, sourced from various s…
Mapping power system inequities in Florida
While recent scholarship has expanded to analyze power outages across multiple hazard events, there remains a critical gap in quantifying system-level fragility to assess the robustness of power systems across diverse utility providers. Relying on outage counts without accounting for the non-linear relationship between hazard intensity and system performance can mask the true vulnerability of the system. To address this gap, this study examines d…
Infrastructure Resilience and Vulnerability Analysis (3 works) · Fragility (2 works) · Power System Reliability and Maintenance (2 works) · Socioeconomic status (2 works) · Atlantic hurricane (1 work) · Business (1 work) · Climatology (1 work) · Computer Science (1 work) · Demography (1 work) · Disadvantaged (1 work)