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
- 2026-07-02
- 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/s41598-026-56860-4,
title = {Low frequency oscillation detection in the presence of renewable energy sources using ambient stochastic subspace identification technique},
author = {Nilesh Chothani and Parth Vyas and Choon Kit Chan and Saurav Dixit and Deekshant Varshney and Chandrakant Sonawane},
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 - Nilesh Chothani AU - Parth Vyas AU - Choon Kit Chan AU - Saurav Dixit AU - Deekshant Varshney AU - Chandrakant Sonawane PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-56860-4 UR - https://doi.org/10.1038/s41598-026-56860-4 ER -
APA
Chothani, N., Vyas, P., Chan, C. K., Dixit, S., Varshney, D., & Sonawane, C. (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
- crossref · retrieved 2026-09-26T06:30:53.690Z