Grid-Related Fine Action Segmentation Based on an STCNN-MCM Joint Algorithm during Smart Grid Training

Grid-Related Fine Action Segmentation Based on an STCNN-MCM Joint Algorithm during Smart Grid Training

Smart grid-training systems enable trainers to achieve the high safety standards required for power operation. Effective methods for the rational segmentation of continuous fine actions can improve smart grid-training systems, which is of great significance to sustainable power-grid operation and th...

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Bibliographic Details
Main Authors: Yong Liu, Weiwen Zhan, Yuan Li, Xingrui Li, Jingkai Guo, Xiaoling Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
power-grid training
cloud model
spatio-temporal convolutional neural network
action segmentation
Online Access:https://www.mdpi.com/1996-1073/16/3/1455

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