Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC

Power load anomaly detection is critical to grid stability and security. With the increasing complexity of load patterns, it is difficult for traditional methods to meet the requirements of accurate detection. Therefore, this study proposes a short and medium-term power load anomaly detection method...

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Bibliographic Details
Main Authors:	Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Convolutional neural network electricity load forecasting short and medium-term forecasting time series analysis smart grid deep learning
Online Access:	https://ieeexplore.ieee.org/document/11104123/
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC

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