Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network
To improve the security and overall efficiency of grid scheduling work and accurately optimize scheduling decisions, a grid scheduling error-proof operation warning method based on a deep bidirectional gated recurrent neural network is proposed. This paper combines the principle of hierarchical dat...
Saved in:
| Main Authors: | Jinglong He, Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2025-04-01
|
| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/9071 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA
by: Andjani Ayu Cahaya Tanjung, et al.
Published: (2024-03-01) -
Research on Vehicle Lane Change Intent Recognition Based on Transformers and Bidirectional Gated Recurrent Units
by: Dan Zhou, et al.
Published: (2025-03-01) -
Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit
by: Bin Li, et al.
Published: (2025-03-01) -
A Bidirectional Gated Recurrent Unit and Temporal Convolutional Network With a Self-Attention Mechanism to Improve Traffic Flow Prediction Performance
by: Yingying Liu, et al.
Published: (2025-01-01) -
Three Hour Ahead PV Power Forecasting with Bidirectional Recurrent Networks: Insights into Monthly Variability
by: Ferial El Robrini, et al.
Published: (2025-06-01)