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Power quality composite disturbance deep feature extraction and classification based on SCG optimized SSAE-FFNN

With the development of the smart grid, power quality issues have been widespread in the power grid and it threaten the safety and stability of the power grid. The monitoring data of power quality disturbances (PQDs) increase rapidly, and it is of great significance to achieve deep feature extractio...

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Bibliografiske detaljer
Principais autores: DING Haoyue, LYU Ganyun, SHI Mingming, FEI Juntao, YU Ming, WU Qiyu
Format: Artigo
Sprog:Chinês
Udgivet: Editorial Department of Electric Power Engineering Technology 2024-05-01
Serier:电力工程技术
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Online adgang:https://www.epet-info.com/dlgcjsen/article/abstract/230206086
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