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Methodologies of Feature Extraction for Voltage Sags in Power System
ID：164 View Protection：ATTENDEE Updated Time：2021-12-03 10:44:05 Hits：977 Poster Presentation

Start Time：2021-12-17 14:50（Asia/Shanghai）

Duration：5min

Session：Z Poster Session » Z3Poster Session 3: Power system and automation

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Abstract
This paper presents methodologies of feature extraction for voltage sags in power systems, from several points of view, throughout the recent years. Study some algorithms about extractions and classifiers, and focus on the accuracy and efficiency of the algorithms in this paper. It also summarizes the algorithms whereas it shows the remaining challenges that requires on feature extraction in the further research.
 
Keywords
Voltage sag, Feature extraction, S-Transform, Wavelet transform, Convolution neural networks.
Speaker
HAN LIU
Jilin University

Submission Author
HAN LIU Jilin University
Gang Li Jilin University
Caitang Sun Jilin University
Xinyu Cao Jilin University
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Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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