Daniel B. Arnold

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 22

Top Topics

Distribution Network

Reinforcement Learning

Convolutional Neural Networks

Top Venues

IEEE Trans. Smart Grid

Publications

Tong Wu, Anna Scaglione, Daniel B. Arnold
Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI. IEEE Trans. Smart Grid 15 (3) (2024)
Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms. IEEE Trans. Smart Grid 14 (5) (2023)
Tong Wu, Anna Scaglione, Daniel B. Arnold
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control. CoRR (2023)
Tong Wu, Anna Scaglione, Adrian Petru Surani, Daniel B. Arnold, Sean Peisert
Network-Constrained Reinforcement Learning for Optimal EV Charging Control. SmartGridComm (2023)
Chao Sun, Vasiliy V. Demyanov, Daniel B. Arnold
A conditional GAN-based approach to build 3D facies models sequentially upwards. Comput. Geosci. 181 (2023)
Daniel B. Arnold, Shammya Saha, Sy-Toan Ngo, Ciaran M. Roberts, Anna Scaglione, Nathan G. Johnson, Sean Peisert, David Pinney
Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability. CoRR (2022)
Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control. CoRR (2022)
Tong Wu, Anna Scaglione, Daniel B. Arnold
Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks. Allerton (2022)
Daniel B. Arnold, Sy-Toan Ngo, Ciaran M. Roberts, Yize Chen, Anna Scaglione, Sean Peisert
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation. CoRR (2022)
Michael D. Sankur, Daniel B. Arnold
Extremum Seeking Over a Discrete Action Space. ACC (2021)
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
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR (2021)
Yize Chen, Daniel B. Arnold, Yuanyuan Shi, Sean Peisert
Understanding the Safety Requirements for Learning-based Power Systems Operations. CoRR (2021)
Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Anna Scaglione, Sean Peisert, Daniel B. Arnold
Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks. ACC (2021)
Yize Chen, Yuanyuan Shi, Daniel B. Arnold, Sean Peisert
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation. CoRR (2021)
Michael D. Sankur, Roel Dobbe, Alexandra von Meier, Daniel B. Arnold
Model-Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems. IEEE Trans. Smart Grid 11 (1) (2020)
Ignacio Losada Carreno, Raksha Ramakrishna, Anna Scaglione, Daniel B. Arnold, Ciaran M. Roberts, Sy-Toan Ngo, Sean Peisert, David Pinney
SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool. SmartGridComm (2020)
Ciaran M. Roberts, Anna Scaglione, Mahdi Jamei, Reinhard Gentz, Sean Peisert, Emma M. Stewart, Chuck McParland, Alex McEachern, Daniel B. Arnold
Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security. IEEE Trans. Smart Grid 11 (1) (2020)
Michael D. Sankur, Maxime Baudette, Jason S. MacDonald, Daniel B. Arnold
Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss. HICSS (2020)
Maxime Baudette, Daniel B. Arnold, Craig Breaden, Michael D. Sankur, Duncan S. Callaway, Jason S. MacDonald
HIL-validation of an Extremum Seeking-based Controller for Advanced DER Management. ISGT (2020)
Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. SmartGridComm (2020)
Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. CoRR (2020)
Daniel B. Arnold, Ciaran M. Roberts, Omid Ardakanian, Emma M. Stewart
Synchrophasor data analytics in distribution grids. ISGT (2017)
Chunlei Zhang, Daniel B. Arnold, Nima Ghods, Antranik Antonio Siranosian, Miroslav Krstic
Source Seeking With Nonholonomic Unicycle Without Position Measurement - Part I: Tuning of Forward Velocity. CDC (2006)