Samuel Chevalier

Shie Mannor

CoRR, 2024

Achieving the Tightest Relaxation of Sigmoids for Formal Verification.

[BibT_eX]

[DOI]

Duncan Starkenburg

Krishnamurthy Dvijotham

CoRR, 2024

Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection.

[BibT_eX]

[DOI]

Omid Mokhtari

Mads Almassalkhi

CoRR, 2024

GPU-Accelerated DCOPF using Gradient-Based Optimization.

[BibT_eX]

[DOI]

Seide Saba Rafiei

CoRR, 2024

A hybrid Quantum-Classical Algorithm for Mixed-Integer Optimization in Power Systems.

[BibT_eX]

[DOI]

Petros Ellinas

CoRR, 2024

GPU-Accelerated Verification of Machine Learning Models for Power Systems.

[BibT_eX]

[DOI]

Ilgiz Murzakhanov

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Towards Energysheds: A Technical Definition and Cooperative Planning Framework.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Perturbation-Induced Static Pivoting on GPU-Based Linear Solvers.

[BibT_eX]

[DOI]

Robert Parker

CoRR, 2023

A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment.

[BibT_eX]

[DOI]

CoRR, 2023

Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets.

[BibT_eX]

[DOI]

Ignasi Ventura Nadal

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

Resilient Feature-driven Trading of Renewable Energy with Missing Data.

[BibT_eX]

[DOI]

Matias Kühnau

Akylas C. Stratigakos

Simon Camal

Georges Kariniotakis

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

Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach.

[BibT_eX]

[DOI]

Vladimir Dvorkin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Global Performance Guarantees for Neural Network Models of AC Power Flow.

[BibT_eX]

[DOI]

CoRR, 2022

Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach.

[BibT_eX]

[DOI]

Vladimir Dvorkin

CoRR, 2022

Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations.

[BibT_eX]

[DOI]

Panagiotis N. Papadopoulos

CoRR, 2022

Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection.

[BibT_eX]

[DOI]

Ignasi Ventura Nadal

Proceedings of the IEEE International Conference on Communications, 2022

Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers.

[BibT_eX]

[DOI]

Jochen Stiasny

Proceedings of the Learning for Dynamics and Control Conference, 2022

Towards Optimal Kron-based Reduction Of Networks (Opti-KRON) for the Electric Power Grid.

[BibT_eX]

[DOI]

Mads R. Almassalkhi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment.

[BibT_eX]

[DOI]

Alyssa Kody

Daniel K. Molzahn

CoRR, 2021

Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources.

[BibT_eX]

[DOI]

CoRR, 2021

Contracting Neural-Newton Solver.

[BibT_eX]

[DOI]

Jochen Stiasny

CoRR, 2021

Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation.

[BibT_eX]

[DOI]

Jochen Stiasny

Proceedings of the IEEE International Conference on Communications, 2021

2020

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics.

[BibT_eX]

[DOI]

Tommaso Bradde

Marco De Stefano

Stefano Grivet-Talocia

CoRR, 2020

Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations.

[BibT_eX]

[DOI]

Kathleen Cavanagh

CoRR, 2020

Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction.

[BibT_eX]

[DOI]

Luca Schenato

CoRR, 2020

Accelerated Probabilistic Power Flow via Model Order Reduction and Neumann Series Expansion.

[BibT_eX]

[DOI]

Luca Schenato

CoRR, 2020

Dynamic Linepack Depletion Models for Natural Gas Pipeline Networks.

[BibT_eX]

[DOI]

Dan Wu

CoRR, 2020

2019

A Passivity Enforcement Technique for Forced Oscillation Source Location.

[BibT_eX]

[DOI]

CoRR, 2019

Decentralized stability rules for microgrids.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Using Passivity Theory to Interpret the Dissipating Energy Flow Method.

[BibT_eX]

[DOI]

Bin Wang

Slava Maslennikov

CoRR, 2018

A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters.

[BibT_eX]

[DOI]

CoRR, 2018

Mitigating the Risk of Voltage Collapse using Statistical Measures from PMU Data.

[BibT_eX]

[DOI]

Paul D. H. Hines

CoRR, 2018

2017

Using Effective Generator Impedance for Forced Oscillation Source Location.

[BibT_eX]

[DOI]