Power grid fault handling plan matching method based on a hybrid neural network

Power grid fault handling plan matching method based on a hybrid neural network

A matching method based on a hybrid neural network is proposed to improve the accuracy of online matching for a power grid fault handling plan. First, the ERNIE 3.0 encoding and double-pointer decoding module are used to replace the generative model in the universal information extraction (UIE) fram...

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Bibliographic Details
Main Authors: Dajun Xiao, Xialing Xu, Bo Zhang, Yue Zhang, Lianfei Shan, Tao Liu, Xin Li, Yongtian Qiao, Tao Jiang, Yu Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Energy Research
Subjects:
power grid fault handling plan
universal information extraction framework
residual vector-embedding vector-encoded vector
hybrid neural network model
entity recognition
text matching
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1468651/full
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https://www.frontiersin.org/articles/10.3389/fenrg.2024.1468651/full

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