A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems.
- DOI
- 10.1109/tnnls.2020.2968486
- Published
- 2020 Dec
- 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.2020.2968486,
title = {A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems.},
author = {Tian G and Zhou Q and Birari R and Qi J and Qu Z},
year = {2020},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2020.2968486},
url = {https://doi.org/10.1109/tnnls.2020.2968486}
}RIS
TY - JOUR TI - A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems. AU - Tian G AU - Zhou Q AU - Birari R AU - Qi J AU - Qu Z PY - 2020 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2020.2968486 UR - https://doi.org/10.1109/tnnls.2020.2968486 ER -
APA
G, T., Q, Z., R, B., J, Q., & Z, Q. (2020). A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2020.2968486
Source records
- pubmed · retrieved 2026-11-10T10:26:51.294Z