Establishing nationwide power system vulnerability index across US counties using interpretable machine learning

Power outages have become increasingly frequent, intense, and prolonged in the US due to climate change, aging electrical grids, and rising energy demand. However, largely due to the absence of granular spatiotemporal outage data, we lack data-driven evidence and analytics-based metrics to quantify...

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Veröffentlicht in:	Applied energy Jg. 397; S. 126360
Hauptverfasser:	Ma, Junwei, Li, Bo, Omitaomu, Olufemi A., Mostafavi, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.11.2025 Elsevier
Schlagworte:	Disaster resilience Energy justice Infrastructure vulnerability Machine learning Power outages Infrastructure vulnerability Disaster resilience Power outages Energy justice Machine learning
ISSN:	0306-2619
Online-Zugang:	Volltext
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