Graph Learning-Based Power System Health Assessment Model
As the power transmission system’s energy sources become increasingly diversified, the grid stability is experiencing increased fluctuations, thereby necessitating more frequent and near real-time monitoring by grid operators. The power system security has been monitored through real-time...
Saved in:
| Main Authors: | Koji Yamashita, Nanpeng Yu, Evangelos Farantatos, Lin Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Access Journal of Power and Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10945887/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on safety risk assessment model of construction engineering based on attention mechanism and graph neural network
by: Lanfei He, et al.
Published: (2025-12-01) -
GTAT: empowering graph neural networks with cross attention
by: Jiahao Shen, et al.
Published: (2025-02-01) -
An Explainable Graph Neural Framework to Identify Cancer‐Associated Intratumoral Microbial Communities
by: Zhaoqian Liu, et al.
Published: (2024-11-01) -
A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network
by: Qinghao Zhang, et al.
Published: (2022-12-01) -
Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking
by: Wei Zhang, et al.
Published: (2023-01-01)