Low frequency oscillation detection in the presence of renewable energy sources using ambient stochastic subspace identification technique.
- DOI
- 10.1038/s41598-026-56860-4
- Published
- 2026 Jul 2
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56860-4,
title = {Low frequency oscillation detection in the presence of renewable energy sources using ambient stochastic subspace identification technique.},
author = {Chothani N and Vyas P and Chan CK and Dixit S and Varshney D and Sonawane C},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-56860-4},
url = {https://doi.org/10.1038/s41598-026-56860-4}
}RIS
TY - JOUR TI - Low frequency oscillation detection in the presence of renewable energy sources using ambient stochastic subspace identification technique. AU - Chothani N AU - Vyas P AU - Chan CK AU - Dixit S AU - Varshney D AU - Sonawane C PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-56860-4 UR - https://doi.org/10.1038/s41598-026-56860-4 ER -
APA
N, C., P, V., CK, C., S, D., D, V., & C, S. (2026). Low frequency oscillation detection in the presence of renewable energy sources using ambient stochastic subspace identification technique.. Scientific reports. https://doi.org/10.1038/s41598-026-56860-4
Source records
- pubmed · retrieved 2026-11-10T13:23:21.728Z