摘要
阐述深度学习在电力系统中的应用,介绍电网故障检测、诊断算法、数据集准备与预处理、模型设计与实验的方法.通过数据集划分与特征提取等步骤,深度学习模型能够有效识别电网故障.
Abstract
This paper describes the application of deep learning in the power system,introducing methods for power grid fault detection,diagnostic algorithms,dataset preparation and preprocessing,model design,and experimentation.Through steps such as dataset partitioning and feature extraction,deep learning models can effectively identify power grid faults.
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