Review of Machine Learning Techniques for Power Electronics Control and Optimization

Maryam Bahrami, Zeyad Khashroum

Open source

DOI: 10.61186/crpase.9.3.2860
Published: 2023
Container: COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE &amp; ENGINEERING
Publisher: Apex Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.61186/crpase.9.3.2860,
  title = {Review of Machine Learning Techniques for Power Electronics Control and Optimization},
  author = {Maryam Bahrami and Zeyad Khashroum},
  year = {2023},
  journal = {COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE \&amp;amp; ENGINEERING},
  doi = {10.61186/crpase.9.3.2860},
  url = {https://doi.org/10.61186/crpase.9.3.2860}
}

RIS

TY  - JOUR
TI  - Review of Machine Learning Techniques for Power Electronics Control and Optimization
AU  - Maryam Bahrami
AU  - Zeyad Khashroum
PY  - 2023
JO  - COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE &amp;amp; ENGINEERING
DO  - 10.61186/crpase.9.3.2860
UR  - https://doi.org/10.61186/crpase.9.3.2860
ER  -

APA

Bahrami, M., & Khashroum, Z. (2023). Review of Machine Learning Techniques for Power Electronics Control and Optimization. COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE &amp; ENGINEERING. https://doi.org/10.61186/crpase.9.3.2860

Source records

crossref · retrieved 2026-09-25T04:12:44.201Z