Federated Synchrophasor Data Prediction, Aggregation and Inference Using Deep Learning: A Case of Proactive Control for Short-Term Stability-Reference-Cited by-同舟云学术

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Federated Synchrophasor Data Prediction, Aggregation and Inference Using Deep Learning: A Case of Proactive Control for Short-Term Stability

Published:2024 Issue: Volume: Page:1-11
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Ahmed Arman¹,Basumallik Sagnik²^ORCID,Srivastava Anurag K.²^ORCID,Wu Yinghui³,Choudhury Sutanay⁴

Affiliation:

1. Electrical Engineering and Computer Science, Washington State University College of Engineering and Architecture, Pullman, WA, USA

2. Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA

3. Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA

4. Pacific Northwest National Laboratory, Richland, WA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/4359248/10366865.pdf?arnumber=10366865

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults;IEEE Open Journal of Industry Applications;2024

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