基于大数据技术的电力系统故障预测与诊断方法分析

Analysis of Power System Fault Prediction and Diagnosis Methods Based on Big Data Technology

阐述电力系统故障预测与诊断策略、特征提取方法和特征选择算法,探讨机器学习和深度学习模型、建模关键问题、模型评估指标,分析故障预测与诊断方法,并进行实验验证。

This paper expounds power system fault prediction and diagnosis strategies,feature extraction methods,and feature selection algorithms,explores machine learning and deep learning models,key modeling issues,model evaluation indicators,analyzes fault prediction and diagnosis methods,and conducts experimental verification.