An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems.
IEEE Access, 2023
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration.
IEEE Trans. Smart Grid, 2022
Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization.
IEEE Trans. Smart Grid, 2022
Distributed and communication-efficient solutions to linear equations with special sparse structure.
Syst. Control. Lett., 2022
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks.
IEEE Trans. Smart Grid, 2021
Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2021
Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems.
IEEE Trans. Smart Grid, 2020
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration.
IEEE Trans. Smart Grid, 2020
Information Losses in Neural Classifiers From Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2020
Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2020
Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras.
IEEE Access, 2020
HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning.
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020
Detection and Segmentation of Power Line Fires in Videos.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data.
IEEE Trans. Ind. Informatics, 2019
Asymptotic Finite Sample Information Losses in Neural Classifiers.
CoRR, 2019
Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Dynamic Distribution Network Reconfiguration Using Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
State estimation for unbalanced electric power distribution systems using AMI data.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017