CNN Threshold Model Suitable for Dynamic Judgment Examination of Abnormal Load in Power Grid

In order to improve the adaptability to abnormal load judgment in scenarios where loads fluctuate greatly,this paper proposes a threshold model with convolutional neural network suitable for the dynamic judgment of abnormal load of power grid.The Convolutional Neural Network(CNN) model is trained wi...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	MAO Junyi, HAN Song, LI Hongqiang
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2020-06-01
Subjects:	convolutional neural network(cnn)|dynamic threshold|load forecasting|sample covariance matrix|maximum eigenvalue|dynamic judgment of abnormal load
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20200642.pdf