47 citations · 108 across the 5 of their papers we have counts for
5 papers
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict…
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework
Raúl Berganza Gómez, Corey O'Meara, Giorgio Cortiana +2
The learning process of classical machine learning algorithms is tuned by hyperparameters that need to be customized to best learn and generalize from an input dataset. In recent y…
Hybrid Classical-Quantum Autoencoder for Anomaly Detection
Alona Sakhnenko, Corey O'Meara, Kumar J. B. Ghosh +3
We propose a Hybrid classical-quantum Autoencoder (HAE) model, which is a synergy of a classical autoencoder (AE) and a parametrized quantum circuit (PQC) that is inserted into its…
Community Detection in Electrical Grids Using Quantum Annealing
Marina Fernández-Campoamor, Corey O'Meara, Giorgio Cortiana +2
With the increase of intermittent renewable generation resources feeding into the electrical grid, Distribution System Operators (DSOs) must find ways to incorporate these new acto…
Practical Quantum K-Means Clustering: Performance Analysis and Applications in Energy Grid Classification
Stephen DiAdamo, Corey O'Meara, Giorgio Cortiana +1
In this work, we aim to solve a practical use-case of unsupervised clustering which has applications in predictive maintenance in the energy operations sector using quantum compute…