Temporal Transfer Learning Framework for Power System Transient Stability Assessment in Internet of Energy-Reference-Cited by-同舟云学术

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Temporal Transfer Learning Framework for Power System Transient Stability Assessment in Internet of Energy

Published:2025-07-15 Issue:14 Volume:12 Page:26923-26932
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Xinyu¹,Yang Yan²^ORCID,Zheng Quan²,Yu Hong²^ORCID,Yang Zhifang³^ORCID,Yu Juan³^ORCID,Chen Tao⁴

Affiliation:

1. Department of Electrical Engineering, Tsinghua University, Beijing, China

2. Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China

3. School of Electrical Engineering, Chongqing University, Chongqing, China

4. Power Grid Technology Center, Chongqing Electric Power Company of SGCC, Chongqing, China

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488907/11074249/10973133.pdf?arnumber=10973133

Reference29 articles.

1. Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

2. Catastrophe Predictors From Ensemble Decision-Tree Learning of Wide-Area Severity Indices

3. Online Identification of Power System Dynamic Signature Using PMU Measurements and Data Mining

4. Voltage Stability Monitoring Based on Disagreement-Based Deep Learning in a Time-Varying Environment

5. Convolutional neural network-based power system transient stability assessment and instability mode prediction

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