A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems
- DOI
- 10.1109/tnnls.2020.2968486
- Published
- 2020-12
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- 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 = {Guanyu Tian and Qun Zhou and Rahul Birari and Junjian Qi and Zhihua Qu},
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 - Guanyu Tian AU - Qun Zhou AU - Rahul Birari AU - Junjian Qi AU - Zhihua Qu 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
Tian, G., Zhou, Q., Birari, R., Qi, J., & Qu, Z. (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
- crossref · retrieved 2026-09-25T04:18:32.216Z