Prediction method of photovoltaic power based on combination of CEEMDAN-SSA-DBN and LSTM

Prediction method of photovoltaic power based on combination of CEEMDAN-SSA-DBN and LSTM

Aiming at the problem of high fluctuation and instability of photovoltaic power, a photovoltaic power prediction method combining two techniques has been proposed in this study. In this method, the fast correlation filtering algorithm has been used to extract the meteorological features having a str...

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Bibliographic Details
Main Authors:	Yuan Jianhua, Gao Yanling, Xie Binbin, Li Hongqiang, Jiang Wenjun
Format:	Article
Language:	English
Published:	EDP Sciences 2023-01-01
Series:	Science and Technology for Energy Transition
Subjects:	photovoltaic power prediction empirical mode decomposition deep confidence network fast correlation filtering algorithm
Online Access:	https://www.stet-review.org/articles/stet/full_html/2023/01/stet20230047/stet20230047.html

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