Daniel B. Arnold
Orcid: 0000-0001-8897-1132Affiliations:
- Lawrence Berkeley National Laboratory, Berkeley, USA
According to our database1,
Daniel B. Arnold
authored at least 34 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI.
IEEE Trans. Smart Grid, May, 2024
2023
Comput. Geosci., December, 2023
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms.
IEEE Trans. Smart Grid, September, 2023
Augmented Digital Twin for Identification of Most Critical Cyberattacks in Industrial Systems.
CoRR, 2023
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control.
CoRR, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Outer-loop Adaptive Control of Converter-Interfaced Generation for Cyber-Physical Security.
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.
CoRR, 2022
Deep Reinforcement Learning with Graph ConvNets for Distribution Network Voltage Control.
CoRR, 2022
Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability.
CoRR, 2022
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation.
Proceedings of the American Control Conference, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 American Control Conference, 2021
Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks.
Proceedings of the 2021 American Control Conference, 2021
2020
IEEE Trans. Smart Grid, 2020
Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security.
IEEE Trans. Smart Grid, 2020
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.
IEEE Trans. Smart Grid, 2020
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
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.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation.
CoRR, 2019
Extremum Seeking Control of Distributed Energy Resources with Decaying Dither and Equilibrium-based Switching.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
2018
Forecasting-Based State Estimation for Three-Phase Distribution Systems with Limited Sensing.
CoRR, 2018
2017
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.
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.
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.
Syst. Control. Lett., 2007
2006
Source Seeking With Nonholonomic Unicycle Without Position Measurement - Part I: Tuning of Forward Velocity.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006