Neural Network Based Reinforcement Learning for Maximum Power Extraction of Wind Energy-Reference-Cited by-同舟云学术

Neural Network Based Reinforcement Learning for Maximum Power Extraction of Wind Energy

Published:2022-10-08 Issue: Volume: Page:
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Container-title:2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Sivakumar Nitin¹,Routray Abhinandan²,Sajeev Neethu³,Raju Febin⁴,Dhiman Gaurav²

Affiliation:

1. Universal Engineering College,Department of EEE,Thrissur,India

2. DIT University,Department of EECE,Dehradun,India

3. MEA Engineering college,Department of EEE,Kerala,India

4. Christ College of Engineering,Department of EEE,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987721/9988754/09989287.pdf?arnumber=9989287

Reference15 articles.

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2. Robust Predictive Control for Direct-Driven Surface-Mounted Permanent-Magnet Synchronous Generators Without Mechanical Sensors

3. On-line q-learning using connectionist systems;rummery;technical report CUED/F-Infeng/TR,1994

4. An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems

5. Wind Speed and Rotor Position Sensorless Control for Direct-Drive PMG Wind Turbines

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3. Reinforcement learning in wind energy - a review;International Journal of Green Energy;2023-11-15

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