45 citations · 87 across the 7 of their papers we have counts for
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eess.SY2018
Load Curtailment Estimation in Response to Extreme Events
Rozhin Eskandarpour, Amin Khodaei, Ali Arab
A machine learning model is proposed in this paper to help estimate potential nodal load curtailment in response to an extreme event. This is performed through identifying which gr…
eess.SY2018★ 5 cited
Component Outage Estimation based on Support Vector Machine
Rozhin Eskandarpour, Amin Khodaei
Predicting power system component outages in response to an imminent hurricane plays a major role in preevent planning and post-event recovery of the power system. An exact predict…
eess.SY2018★ 45 cited
Improving Power Grid Resilience Through Predictive Outage Estimation
Rozhin Eskandarpour, Amin Khodaei, Ali Arab
In this paper, in an attempt to improve power grid resilience, a machine learning model is proposed to predictively estimate the component states in response to extreme events. The…