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researcher

R. Eskandarpour

7 papers hereh-index 12616 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.SY3
  • quant-ph3
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedImproving Power Grid Resilience Through Predictive Outage Estimation

45 citations · 87 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

eess.SP2018★ 8 cited

Artificial Intelligence Assisted Power Grid Hardening in Response to Extreme Weather Events

Rozhin Eskandarpour, Amin Khodaei, A. Paaso +1

In this paper, an artificial intelligence based grid hardening model is proposed with the objective of improving power grid resilience in response to extreme weather events. At fir…

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…

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