Distribution Network Reconfiguration Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Distribution Network Reconfiguration Using Deep Reinforcement Learning

Published:2022-06-12 Issue: Volume: Page:
ISSN:
Container-title:2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
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Author:

Gautam Mukesh¹,Benidris Mohammed¹

Affiliation:

1. University of Nevada,Department of Electrical & Biomedical Engineering,Reno

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9810556/9810557/09810652.pdf?arnumber=9810652

Reference19 articles.

1. Continuous control with deep reinforcement learning;lillicrap,2015

2. Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration

3. Real-time autonomous dynamic reconfiguration based on deep learning algorithm for distribution network

4. Distribution Network Reconfiguration Based on NoisyNet Deep Q-Learning Network

5. Deep Q-learning-based distribution network reconfiguration for reliability improvement;gautam;2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D),2022

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3. A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources;2022 IEEE Industry Applications Society Annual Meeting (IAS);2022-10-09

4. Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach;2022 IEEE Industry Applications Society Annual Meeting (IAS);2022-10-09