Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network

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...

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Bibliographic Details
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:
Deep learning
Bidirectional gating unit
Recurrent neural network
Grid dispatch error prevention
Early warning
Online Access:https://publications.eai.eu/index.php/ew/article/view/9071
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https://publications.eai.eu/index.php/ew/article/view/9071

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