Assessment of Deep Reinforcement Learning Algorithms for Three-Phase Inverter Control-Reference-Cited by-同舟云学术

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Assessment of Deep Reinforcement Learning Algorithms for Three-Phase Inverter Control

Published:2023-11-26 Issue: Volume:134 Page:1-8
ISSN:
Container-title:2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP)
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Author:

Menéndez Oswaldo¹,López-Caiza Diana²,Tarisciotti Luca²,Ruiz Felipe³,Auat-Cheein Fernando⁴,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

4. School of Engineering and Physical Sciences, Heriot-Watt University,Edinburgh,United Kingdom,EH14 4AS

Funder

ANID

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406303/10407110/10407331.pdf?arnumber=10407331

Reference59 articles.

1. Economic Model Predictive Control for Microgrid Optimization: A Review

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

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

4. An Overview of Artificial Intelligence Applications for Power Electronics

5. Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects

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