From the 2 of 10 linked papers with an AI index.
10 papers
Typical models of the distribution system restoration process
Arslan Ahmad, Ian Dobson
The paper develops data‑driven probabilistic models for the distribution system restoration process using outage data, describing restore time progression, total duration, and time…
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…
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…
Quantifying the resilience benefits of undergrounding a circuit with utility data
Arslan Ahmad, Ian Dobson, Anne Kimber
We leverage historical outage data to quantify the resilience benefits of undergrounding a circuit. The historical performance of the overhead circuit is compared to the performanc…
Measuring outage resilience in a distribution system with the number of outages in large events
Arslan Ahmad, Ian Dobson
We develop LENORI, a Large Event Number of Outages Resilience Index measuring distribution system resilience with the number of forced line outages observed in large extreme events…
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…