Research on Data Value Mining of Distributed Photovoltaic System Based on LSTM
With the increasing proportion of renewable energy in the global energy structure,data analysis and optimization of distributed photovoltaic systems are particularly important.This paper describes the construction of long and short term memory network model,aiming at exploiting data value from distributed photovoltaic system to accurately predict photovoltaic power generation and identify system abnormal patterns.Through experimental verification,the model shows a high degree of accuracy in predicting power generation,and can effectively identify abnormal patterns in the data,providing reliable support for the optimal operation of the photovoltaic system.
distributed photovoltaic systemlong short-term memory networkdata value miningabnormal pattern recognition
NETL
NSTL
万方数据
