A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST.
- DOI
- 10.1038/s41598-026-51960-7
- Published
- 2026-05-20
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-51960-7,
title = {A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST.},
author = {Oda ES and Habib AMM and Elnaghi BE and Mansour NM.},
year = {2026},
journal = {Sci Rep},
doi = {10.1038/s41598-026-51960-7},
url = {https://doi.org/10.1038/s41598-026-51960-7}
}RIS
TY - JOUR TI - A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST. AU - Oda ES AU - Habib AMM AU - Elnaghi BE AU - Mansour NM. PY - 2026 JO - Sci Rep DO - 10.1038/s41598-026-51960-7 UR - https://doi.org/10.1038/s41598-026-51960-7 ER -
APA
ES, O., AMM, H., BE, E., & NM., M. (2026). A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST.. Sci Rep. https://doi.org/10.1038/s41598-026-51960-7
Source records
- europe-pmc · retrieved 2026-11-10T14:42:42.352Z
- doaj · retrieved 2026-11-10T14:42:42.366Z