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Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

Renke Huang
Yujiao Chen
Tianzhixi Yin
Qiuhua Huang
Jie Tan
Wenhao Yu
Xinya Li
Ang Li
Yan Du
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Papers citing "Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning"

4 / 4 papers shown
Title
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
Yuqi Zhou
Hao Zhu
26
1
0
09 May 2024
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Ramij-Raja Hossain
Tianzhixi Yin
Yan Du
Renke Huang
Jie Tan
Wenhao Yu
Yuan Liu
Qiuhua Huang
43
0
0
06 Dec 2022
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
Christian Moya
Shiqi Zhang
Meng Yue
Guang Lin
22
42
0
15 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017