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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SY2026

Quantifying resilience for distribution system customers with SALEDI

Arslan Ahmad, Ian Dobson

The paper introduces SALEDI, a logarithmic resilience metric that quantifies customer impact during large blackout events by transforming customer minutes interrupted, and demonstr…

physics.soc-ph2026

Extracting resilience events from utility outage data based on overlapping times and locations

Arslan Ahmad, Ian Dobson

To study power system resilience with real data, it is necessary to group individual power outages recorded by utilities into events in which outages cluster and overlap due to ext…

eess.SY2025

Quantifying Power Systems Resilience Using Statistical Analysis and Bayesian Learning

Apsara Adhikari, Charlotte Wertz, Anamika Dubey +2

The increasing frequency and intensity of extreme weather events is significantly affecting the power grid, causing large-scale outages and impacting power system resilience. Yet l…

q-fin.RM2025

Logarithmic resilience risk metrics that address the huge variations in blackout cost

Arslan Ahmad, Ian Dobson

Resilience risk metrics must address the customer cost of the largest blackouts of greatest impact. However, there are huge variations in blackout cost in observed distribution uti…

eess.SY2025

Resiliency metrics quantifying emergency response in a distribution system

Shikhar Pandey, Gowtham Kandaperumal, Arslan Ahmad +1

The electric distribution system is a cornerstone of modern life, playing a critical role in the daily activities and well-being of individuals. As the world transitions toward a d…

physics.soc-ph2025

The improvement in transmission resilience metrics from reduced outages or faster restoration can be calculated by rerunning historical outage data

Arslan Ahmad, Ian Dobson, Svetlana Ekisheva +2

Transmission utilities routinely collect detailed outage data, including resilience events in which outages bunch up due to weather. The resilience events and their resilience metr…