Simulation of a Three-Phase Reluctance Motor in a Python Environment-Reference-Cited by-同舟云学术

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Simulation of a Three-Phase Reluctance Motor in a Python Environment

Published:2024 Issue: Volume: Page:377-392
ISSN:2524-342X
Container-title:Springer Proceedings in Earth and Environmental Sciences
language:en
Short-container-title:

Author:

Campos Isabella S.,Braga Gabrielle M. V.,Galeti Milene,Buhler Rudolf T.,Pereira Arianne S. N.,Giacomini Renato

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-57650-8_25

Reference17 articles.

1. Aurélio, M., Pacheco, C., & Pacheco, C. (n.d.). Genetic algorithms: principles and applications (pp. 1–3). Retrieved from http://www.inf.ufsc.br/~mauro.roisenberg/ine5377/Cursos-ICA/MQ-intro_apost.pdf

2. Charles Darwin: biografia e seleção natural. (2023). Retrieved from https://brasilescola.uol.com.br/biologia/charles-darwin.htm

3. D. S. Academy. (2022). Deep learning book Brasil. Data Science Academy. Retrieved from. https://www.deeplearningbook.com.br/

4. Donaghy-Spargo, C. (2016). Synchronous reluctance motor technology: Industrial opportunities, challenges and future direction. Engineering & Technology Reference. https://doi.org/10.1049/ETR.2015.0044

5. GA to Define a Trading System. (2016). QuantDare. Retrieved from https://quantdare.com/ga-to-define-a-trading-system/

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