164 citations · 460 across the 55 of their papers we have counts for
9 papers · 1 filter
Graph Neural Networks for Fast Contingency Analysis of Power Systems
Agnes M. Nakiganda, Spyros Chatzivasileiadis
The successful integration of machine learning models into decision support tools for grid operation hinges on effectively capturing the topological changes in daily operations. Fr…
Stochastic Quantum Power Flow for Risk Assessment in Power Systems
Brynjar Sævarsson, Hjörtur Jóhannsson, Spyros Chatzivasileiadis
This paper introduces the first quantum computing framework for Stochastic Quantum Power Flow (SQPF) analysis in power systems. The proposed method leverages quantum states to enco…
Quantum Amplitude Estimation for Probabilistic Methods in Power Systems
Emilie Jong, Brynjar Sævarsson, Hjörtur Jóhannsson +1
This paper introduces quantum computing methods for Monte Carlo simulations in power systems which are expected to be exponentially faster than their classical computing counterpar…
GPU-Accelerated Verification of Machine Learning Models for Power Systems
Samuel Chevalier, Ilgiz Murzakhanov, Spyros Chatzivasileiadis
Computational tools for rigorously verifying the performance of large-scale machine learning (ML) models have progressed significantly in recent years. The most successful solvers…
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Rahul Nellikkath, Spyros Chatzivasileiadis
Machine learning algorithms, especially Neural Networks (NNs), are a valuable tool used to approximate non-linear relationships, like the AC-Optimal Power Flow (AC-OPF), with consi…
Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment
Rahul Nellikkath, Andreas Venzke, Mohammad Kazem Bakhshizadeh +2
A significant increase in renewable energy production is necessary to achieve the UN's net-zero emission targets for 2050. Using power-electronic controllers, such as Phase Locked…