id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30620	Yu, Nuolin	Research on Distributed Photovoltaic Data Prediction Based on Deep Learning Method	2025	6	.pdf	application/pdf	3456	169	50	Based on the above analysis, this paper focuses on the key technical problems of distributed photovoltaic data prediction, and proposes a prediction method that combines meteorological historical data and long-term and short-term memory network (LSTM). It aims to improve the accuracy and reliability of distributed photovoltaic power prediction through refined meteorological data classification and deep feature mining, and provide theoretical support and technical reference for the efficient operation of power system and the scientific planning of distributed energy.	cache/fcis-30620.pdf	txt/fcis-30620.txt