摘要
阐述基于人工智能的光伏发电系统故障诊断与预测,包括数据收集与预处理、利用人工智能进行故障诊断和故障预测。通过分析机器学习和深度学习技术的应用,展示人工智能技术的应用优势。
This paper describes artificial intelligence based fault diagnosis and prediction of photovoltaic power generation systems,including data collection and preprocessing,and the use of artificial intelligence for fault diagnosis and prediction.It demonstrates the advantages of artificial intelligence technology by analyzing the applications of machine learning and deep learning techniques.
作者
王志强
WANG Zhiqiang(Jinneng Clean Energy Photovoltaic Power Generation Co.,Ltd.,Shanxi 030001,China)
出处
《集成电路应用》
2024年第4期290-291,共2页
Application of IC
关键词
智能技术
光伏发电系统
故障诊断
故障预测
intelligent technology
photovoltaic power generation systems
fault diagnosis
fault prediction