Daniel B. Arnold

IEEE Trans. Smart Grid, May, 2024

Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

A conditional GAN-based approach to build 3D facies models sequentially upwards.

[BibT_eX]

[DOI]

Chao Sun

Vasiliy V. Demyanov

Comput. Geosci., December, 2023

Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms.

[BibT_eX]

[DOI]

Ignacio Losada Carreno

IEEE Trans. Smart Grid, September, 2023

Augmented Digital Twin for Identification of Most Critical Cyberattacks in Industrial Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control.

[BibT_eX]

[DOI]

CoRR, 2023

Network-Constrained Reinforcement Learning for Optimal EV Charging Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Outer-loop Adaptive Control of Converter-Interfaced Generation for Cyber-Physical Security.

[BibT_eX]

[DOI]

Ciaran M. Roberts

Duncan S. Callaway

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control.

[BibT_eX]

[DOI]

Ignacio Losada Carreno

CoRR, 2022

Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability.

[BibT_eX]

[DOI]

CoRR, 2022

Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation.

[BibT_eX]

[DOI]

CoRR, 2021

Learning from learning machines: a new generation of AI technology to meet the needs of science.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the Safety Requirements for Learning-based Power Systems Operations.

[BibT_eX]

[DOI]

CoRR, 2021

Extremum Seeking Over a Discrete Action Space.

[BibT_eX]

[DOI]

Michael D. Sankur

Proceedings of the 2021 American Control Conference, 2021

Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

Model-Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Lyapunov Stability of Smart Inverters Using Linearized DistFlow Approximation.

[BibT_eX]

[DOI]

Shammya Shananda Saha

CoRR, 2020

Deep Reinforcement Learning for DER Cyber-Attack Mitigation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool.

[BibT_eX]

[DOI]

Ignacio Losada Carreno

Proceedings of the 2020 IEEE International Conference on Communications, 2020

HIL-validation of an Extremum Seeking-based Controller for Advanced DER Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss.

[BibT_eX]

[DOI]

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation.

[BibT_eX]

[DOI]

CoRR, 2019

Extremum Seeking Control of Distributed Energy Resources with Decaying Dither and Equilibrium-based Switching.

[BibT_eX]

[DOI]

Michael D. Sankur

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Data-Driven Decentralized Optimal Power Flow.

[BibT_eX]

[DOI]

CoRR, 2018

Forecasting-Based State Estimation for Three-Phase Distribution Systems with Limited Sensing.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Synchrophasor data analytics in distribution grids.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

2016

Real-Time Distribution Grid State Estimation with Limited Sensors and Load Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

2013

An architecture for enabling distributed plug load control for commercial building demand response.

[BibT_eX]

[DOI]

Michael D. Sankur

David M. Auslander

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

2007

Source seeking with non-holonomic unicycle without position measurement and with tuning of forward velocity.

[BibT_eX]

[DOI]

Chunlei Zhang

Antranik Antonio Siranosian

Nima Ghods

Miroslav Krstic

Syst. Control. Lett., 2007

2006

Source Seeking With Nonholonomic Unicycle Without Position Measurement - Part I: Tuning of Forward Velocity.

[BibT_eX]

[DOI]

Chunlei Zhang