Research on Photovoltaic Power Generation Technology Based on Deep Learning
In order to improve the operation efficiency of photovoltaic power generation system,based on the overview of photovoltaic power generation technology,this article analyzes the operating principle of photovoltaic power generation technology,and clarifies its main characteristics,which lays a solid foundation for researchers to collect the operation data of the photovoltaic power generation system.At the same time,the image Classification model of photovoltaic array pollution is simulated and analyzed,and the Image Classification model of photovoltaic array pollution is established to scientifically predict the future weather conditions,and the working state of the pho-tovoltaic power generation system is adjusted according to the prediction results,in order to improve its operation stability.The experimental results show that the photovoltaic array pollution Image Classification model has high ac-curacy and reliability.Compared with traditional methods,it has good performance in power generation prediction and can adapt to different weather conditions and environmental changes.In the future,the model will be further improved and other applications of Deep Learning Algorithms will be explored to further improve the operation ef-ficiency of the photovoltaic power generation system.
Deep LearningPhotovoltaicsPhotovoltaic array pollution imageImage data preprocessing
NETL
NSTL
万方数据
