Anomaly detection of power load data based on Transformer and generative adversarial networks

Anomaly detection of power load data based on Transformer and generative adversarial networks

Power system planning, load forecasting, and energy utilization analysis are significantly impacted by power load anomalies, necessitating prompt detection and identification. Firstly, the abnormal classification, causes, and characteristics of power load data are analyzed. Secondly, it enhances the...

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Bibliographic Details
Main Authors: LU Danhong, FAN Wenyao, YANG Ting, NI Minjue, LI Siqi, ZHU Xiao
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-01-01
Series:电力工程技术
Subjects:
power load data
data anomaly detection
generative adversarial networks (gan)-transformer
multi-stage training and mapping
focus score
sequence refactoring
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/230424466

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https://www.epet-info.com/dlgcjsen/article/abstract/230424466

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