DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation-Reference-Cited by-同舟云学术

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DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation

Published:2020-10 Issue:10 Volume:35 Page:9971-9977
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Hajihosseini Mojtaba^ORCID,Andalibi Milad^ORCID,Gheisarnejad Meysam^ORCID,Farsizadeh Hamed,Khooban Mohammad-Hassan^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/9127988/09020169.pdf?arnumber=9020169

Cited by 91 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Renewable energy integration with DC microgrids: Challenges and opportunities;Electric Power Systems Research;2024-09

2. Proximal Policy Optimization-Based Reinforcement Learning Approach for DC-DC Boost Converter Control: A Comparative Evaluation Against Traditional Control Techniques;Heliyon;2024-09

3. A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations;Energies;2024-07-21

4. Voltage-balancing of two controllers for a DC-DC converter-based DC microgrid with experimental verification;Mathematics and Computers in Simulation;2024-07

5. Power data quality assessment and verification governance based on knowledge graph;Intelligent Decision Technologies;2024-06-07

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