45 citations · 87 across the 7 of their papers we have counts for
7 papers
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
Samantha Koretsky, Pranav Gokhale, Jonathan M. Baker +8
In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and app…
Experimental Quantum Computing to Solve Network DC Power Flow Problem
Rozhin Eskandarpour, Kumar Ghosh, Amin Khodaei +1
Practical quantum computing applications to power grids are nonexistent at the moment. This paper investigates how a fundamental grid problem, namely DC power flow, can be solved u…
Quantum Computing Solution of DC Power Flow
Rozhin Eskandarpour, Kumar Ghosh, Amin Khodaei +3
In this paper, we model and solve a fundamental power system problem, i.e., DC power flow, using a practical quantum computer. The Harrow-Hassidim-Lloyd (HHL) quantum algorithm is…
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…
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…
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…
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…