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12/17/2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
This paper presents a novel federated reinforcement learning (Fed-RL) me...
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12/06/2022
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
This article proposes a model-based deep reinforcement learning (DRL) me...
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12/02/2021
Safe Reinforcement Learning for Grid Voltage Control
Under voltage load shedding has been considered as a standard approach t...
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11/29/2021
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery
In this work we propose a novel data-driven, real-time power system volt...
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10/21/2021
Learning to run a power network with trust
Artificial agents are promising for realtime power system operations, pa...
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09/29/2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
One of the key challenges to deep reinforcement learning (deep RL) is to...
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01/29/2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
This paper presents a novel hierarchical deep reinforcement learning (DR...
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01/13/2021
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning
As power systems are undergoing a significant transformation with more u...
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03/09/2019
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Power system emergency control is generally regarded as the last safety ...
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11/07/2017