A super-resolution perception-based incremental learning approach for power system voltage stability assessment with incomplete PMU measurements
This paper develops a fully data-driven, missing- data tolerant method for post-fault short-term voltage stability (STVS) assessment of power systems against the incomplete PMU measurements. The super-resolution perception (SRP), based on a deep residual learning convolutional neural network, is emp...
Saved in:
Main Authors: | Ren, Chao, Xu, Yan, Zhao, Junhua, Zhang, Rui, Wan, Tong |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165110 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A hierarchical incremental learning approach to task decomposition
by: Guan, S.-U., et al.
Published: (2014) -
Incremental learning in terms of output attributes
by: Guan, S.-U., et al.
Published: (2014) -
Incremental ordered neural network training
by: Guan, S.-U., et al.
Published: (2014) -
Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography
by: Awasthi, Navchetan, et al.
Published: (2021) -
An incremental approach to contribution-based feature selection
by: Guan, S.-U., et al.
Published: (2014)