Zeynab Kaseb

According to our database, Zeynab Kaseb authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Quantum-Enhanced Power Flow and Optimal Power Flow based on Combinatorial Reformulation.

Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara

CoRR, May, 2025

Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems.

Zeynab Kaseb, Rahul Rane, Aleksandra Lekic, Matthias Möller, Amin Khodaei, Peter Palensky, Pedro P. Vergara

CoRR, May, 2025

Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids.

Shengyuan Yan, Farzad Vazinram, Zeynab Kaseb, Lindsay Spoor, Jochen Stiasny, Betul Mamudi, Amirhossein Heydarian Ardakani, Ugochukwu Orji, Pedro P. Vergara, Yu Xiang, Jerry Guo

CoRR, April, 2025

Solving Power System Problems using Adiabatic Quantum Computing.

Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara

CoRR, April, 2025

2024

Adaptive Informed Deep Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky

CoRR, 2024

Adiabatic Computing for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Markus Kirsch, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Hybrid Quantum Physics-Informed Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023

Quantum Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Giorgio Tosti Balducci, Peter Palensky, Pedro P. Vergara

CoRR, 2023

Adaptive Activation Functions for Deep Learning-based Power Flow Analysis.

Zeynab Kaseb, Yu Xiang, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023