Daniel B. Arnold

28 papers C 2Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differential Privacy of Network Parameters from a System Identification Perspective. CoRR Andrew Campbell, Anna Scaglione, Hang Liu, Victor Elvira, Sean Peisert, Daniel B. Arnold
2025	J	`jnl`	History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions. CoRR Gleb Shishaev, Vasiliy V. Demyanov, Daniel B. Arnold
2025	J	`jnl`	Optimal Control of Differentially Private EV Charging: A Scalable Learning Approach Under Uncertainty. IEEE Internet Things J. Tong Wu, Anna Scaglione, Nikhil Ravi, Sean Peisert, Daniel B. Arnold
2025	J	`jnl`	Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations. CoRR Tong Wu, Anna Scaglione, Sandy Miguel, Daniel B. Arnold
2024	J	`jnl`	Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI. IEEE Trans. Smart Grid Tong Wu, Anna Scaglione, Daniel B. Arnold
2024	—	`conf`	Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems. Allerton Tong Wu, Anna Scaglione, Daniel B. Arnold, Tianyi Chen
2023	J	`jnl`	A conditional GAN-based approach to build 3D facies models sequentially upwards. Comput. Geosci. Chao Sun, Vasiliy V. Demyanov, Daniel B. Arnold
2023	J	`jnl`	Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control. CoRR Tong Wu, Anna Scaglione, Daniel B. Arnold
2023	—	`conf`	Network-Constrained Reinforcement Learning for Optimal EV Charging Control. SmartGridComm Tong Wu, Anna Scaglione, Adrian-Petru Surani, Daniel B. Arnold, Sean Peisert
2023	J	`jnl`	Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms. IEEE Trans. Smart Grid Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
2022	J	`jnl`	Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. CoRR Daniel B. Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
2022	J	`jnl`	Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability. CoRR Daniel B. Arnold, Shammya Saha, Sy-Toan Ngo, Ciaran M. Roberts, Anna Scaglione, Nathan G. Johnson, Sean Peisert, David Pinney
2022	J	`jnl`	Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control. CoRR Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
2022	—	`conf`	Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks. Allerton Tong Wu, Anna Scaglione, Daniel B. Arnold
2021	C	`conf`	Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks. ACC Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Anna Scaglione, Sean Peisert, Daniel B. Arnold
2021	C	`conf`	Extremum Seeking Over a Discrete Action Space. ACC Michael D. Sankur, Daniel B. Arnold
2021	J	`jnl`	Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
2021	J	`jnl`	SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. CoRR Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert
2021	J	`jnl`	Understanding the Safety Requirements for Learning-based Power Systems Operations. CoRR Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert
2020	—	`conf`	Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss. HICSS Michael D. Sankur, Maxime Baudette, Jason S. MacDonald, Daniel B. Arnold
2020	—	`conf`	Deep Reinforcement Learning for DER Cyber-Attack Mitigation. SmartGridComm Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin
2020	J	`jnl`	Deep Reinforcement Learning for DER Cyber-Attack Mitigation. CoRR Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin
2020	—	`conf`	HIL-validation of an Extremum Seeking-based Controller for Advanced DER Management. ISGT Maxime Baudette, Daniel B. Arnold, Craig Breaden, Michael D. Sankur, Duncan S. Callaway, Jason S. MacDonald
2020	J	`jnl`	Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security. IEEE Trans. Smart Grid Ciaran M. Roberts, Anna Scaglione, Mahdi Jamei, Reinhard Gentz, Sean Peisert, Emma M. Stewart, Chuck McParland, Alex McEachern, Daniel B. Arnold
2020	J	`jnl`	Model-Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems. IEEE Trans. Smart Grid Michael D. Sankur, Roel Dobbe, Alexandra von Meier, Daniel B. Arnold
2020	—	`conf`	SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool. SmartGridComm Ignacio Losada Carreno, Raksha Ramakrishna, Anna Scaglione, Daniel B. Arnold, Ciaran M. Roberts, Sy-Toan Ngo, Sean Peisert, David Pinney
2017	—	`conf`	Synchrophasor data analytics in distribution grids. ISGT Daniel B. Arnold, Ciaran M. Roberts, Omid Ardakanian, Emma M. Stewart
2006	—	`conf`	Source Seeking With Nonholonomic Unicycle Without Position Measurement - Part I: Tuning of Forward Velocity. CDC Chunlei Zhang, Daniel B. Arnold, Nima Ghods, Antranik Antonio Siranosian, Miroslav Krstic