Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model

Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model

Existing methods in predicting short-term photovoltaic (PV) power have low accuracy and cannot satisfy actual demand. Thus, a prediction model based on similar days and seagull optimization algorithm (SOA) is proposed to optimize a deep belief network (DBN). Fast correlation-based filter (FCBF) meth...

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Bibliographic Details
Main Authors: Wei Hu, Xinyan Zhang, Lijuan Zhu, Zhenen Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
PV power generation
prediction model
similar day
seagull optimization algorithm
deep belief network
Online Access:https://ieeexplore.ieee.org/document/9305205/

Internet

https://ieeexplore.ieee.org/document/9305205/

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