Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning.
- DOI
- 10.1109/tnnls.2023.3238168
- Published
- 2024 Jul
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2023.3238168,
title = {Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning.},
author = {Shi Z and Yao W and Tang Y and Ai X and Wen J and Cheng S},
year = {2024},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2023.3238168},
url = {https://doi.org/10.1109/tnnls.2023.3238168}
}RIS
TY - JOUR TI - Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning. AU - Shi Z AU - Yao W AU - Tang Y AU - Ai X AU - Wen J AU - Cheng S PY - 2024 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2023.3238168 UR - https://doi.org/10.1109/tnnls.2023.3238168 ER -
APA
Z, S., W, Y., Y, T., X, A., J, W., & S, C. (2024). Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2023.3238168
Source records
- pubmed · retrieved 2026-11-10T12:02:04.319Z