Philippe Jacquod

Orcid: 0000-0002-0587-3535

According to our database1, Philippe Jacquod authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Large Synthetic Datasets for Machine Learning Applications in Power Systems.
CoRR, 2024

2023
A Novel Adaptive Inertia Strategy in Large-Scale Electric Power Grids.
CoRR, 2023

2022
Finite-time Correlations Boost Large Voltage-Angle Fluctuations in Electric Power Grids.
CoRR, 2022

Toward Model Reduction for Power System Transients With Physics-Informed PDE.
IEEE Access, 2022

Long Wavelength Coherency in Well Connected Electric Power Networks.
IEEE Access, 2022

2021
Primary Control Effort Under Fluctuating Power Generation in Realistic High-Voltage Power Networks.
IEEE Control. Syst. Lett., 2021

Model Reduction of Swing Equations with Physics Informed PDE.
CoRR, 2021

Matrix Perturbation Theory of Inter-Area Oscillations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Performance Measures in Electric Power Networks Under Line Contingencies.
IEEE Trans. Control. Netw. Syst., 2020

Clusterization and phase diagram of the bimodal Kuramoto model with bounded confidence.
CoRR, 2020

2019
The Kuramoto Model on Oriented and Signed Graphs.
SIAM J. Appl. Dyn. Syst., 2019

Optimal Placement of Inertia and Primary Control: A Matrix Perturbation Theory Approach.
IEEE Access, 2019

Optimal placement of inertia and primary control in high voltage power grids.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids.
CoRR, 2018

Transient Performance of Electric Power Networks Under Colored Noise.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Resistance distance criterion for optimal slack bus selection.
CoRR, 2017

2016
Large electric load fluctuations in energy-efficient buildings and how to suppress them with demand side management.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016


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