基于机器学习的电力通信可靠性分析

Analysis of Power Communication Reliability Based on Machine Learning

阐述机器学习与电力通信的可靠性特点,分析数据采集与特征选择,包括电力通信数据的采集技术、据预处理和清洗、特征选择和提取方法,探讨基于机器学习的电力通信自愈与优化策略。

This paper describes the reliability characteristics of machine learning and power communication,analyzes data collection and feature selection,including data collection technology,data preprocessing and cleaning,feature selection and extraction methods for power communication data,and explores self-healing and optimization strategies for power communication based on machine learning.