Intelligent Control of an Active Front-End Converter: Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Intelligent Control of an Active Front-End Converter: Deep Reinforcement Learning Approach

Published:2023-11-26 Issue: Volume:13 Page:1-7
ISSN:
Container-title:2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP)
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Author:

Menendez Oswaldo¹,Lopez-Caiza Diana²,Prado Alvaro¹,Flores-Bahamonde Freddy²,Rodríguez José³

Affiliation:

1. Universidad Católica del Norte,Departamento de Sistemas y Computación,Antofagasta,Chile,1270236

2. Energy Transformation Center, Universidad Andres Bello,Engineering Faculty,Santiago,Chile,7500971

3. Universidad San Sebastian,Faculty of Engineering,Santiago,Chile

Funder

ANID

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406303/10407110/10407356.pdf?arnumber=10407356

Reference35 articles.

1. Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies

2. Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies

3. Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends

4. Displacement Current-Based Energy Harvesters in Power Grids: Topologies and Performance Evaluation

5. Serial switch only rectifier as a power conditioning circuit for electric field energy harvesting;Menéndez;Energies,2020

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