Showing 1–12 of 12 results
/ Date/ Name
Nov 4, 2024Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network ApproachesApr 18, 2019Convolutional Neural Network and Transfer Learning for High Impedance Fault DetectionJan 13, 2021Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement LearningDec 17, 2022Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement LearningOct 8, 2023Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and ControlJun 22, 2020Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage ControlNov 29, 2021Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage RecoveryJan 29, 2021Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement LearningMay 8, 2019Parameters Calibration for Power Grid Stability Models using Deep Learning MethodsJul 22, 2024Model editing for distribution shifts in uranium oxide morphological analysisDec 6, 2022Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement LearningNov 21, 2023Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations