Physics-Informed Denoising Model for Dynamic Data Recovery of Power Systems
For a variety of applications within power systems, the precision of data acquisition is of paramount importance. However, the actual data may be corrupted by noise in the process of measurement or transmission, and the accuracy of dynamic security assessment (DSA) will be affected. In light of the...
Saved in:
Main Authors: | Jian Li, Guoqiang Lu, Yongbin Li, Dongning Zhao, Huaiyuan Wang, Yucheng Ouyang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10843214/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancement of underwater acoustic signal based on denoising automatic-encoder
by: Jingwei YIN, et al.
Published: (2019-10-01) -
Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter
by: GAO Lin, et al.
Published: (2024-01-01) -
A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization
by: Ruiqin Duan, et al.
Published: (2022-01-01) -
Gamma norm minimization based image denoising algorithm
by: Hongyan WANG, et al.
Published: (2020-10-01) -
DeepReducer: A linear transformer-based model for MEG denoising
by: Hui Xu, et al.
Published: (2025-03-01)