Light spectrum optimizer and pyramidal dilation attention convolutional neural network for wind energy conversion system using permanent magnet synchronous generator and single-ended primary inductor converter
- DOI
- 10.1038/s41598-026-59367-0
- Published
- 2026-06-25
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59367-0,
title = {Light spectrum optimizer and pyramidal dilation attention convolutional neural network for wind energy conversion system using permanent magnet synchronous generator and single-ended primary inductor converter},
author = {K. R. Suja and M. SivaramKrishnan and J. Isaac JoshuaRamesh Lalvani and S. SriRagavi},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-59367-0},
url = {https://doi.org/10.1038/s41598-026-59367-0}
}RIS
TY - JOUR TI - Light spectrum optimizer and pyramidal dilation attention convolutional neural network for wind energy conversion system using permanent magnet synchronous generator and single-ended primary inductor converter AU - K. R. Suja AU - M. SivaramKrishnan AU - J. Isaac JoshuaRamesh Lalvani AU - S. SriRagavi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-59367-0 UR - https://doi.org/10.1038/s41598-026-59367-0 ER -
APA
Suja, K. R., SivaramKrishnan, M., Lalvani, J. I. J., & SriRagavi, S. (2026). Light spectrum optimizer and pyramidal dilation attention convolutional neural network for wind energy conversion system using permanent magnet synchronous generator and single-ended primary inductor converter. Scientific Reports. https://doi.org/10.1038/s41598-026-59367-0
Source records
- crossref · retrieved 2026-09-25T19:57:49.975Z