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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Vydané v:	Applied energy Ročník 397; s. 126360
Hlavní autori:	Ma, Junwei, Li, Bo, Omitaomu, Olufemi A., Mostafavi, Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.11.2025 Elsevier
Predmet:	Disaster resilience Energy justice Infrastructure vulnerability Machine learning Power outages Infrastructure vulnerability Disaster resilience Power outages Energy justice Machine learning
ISSN:	0306-2619
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