Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm

Daily global solar radiation time series prediction using variational mode decomposition combined with multi-functional recurrent fuzzy neural network and quantile regression forests algorithm

Global solar radiation (GSR) prediction capability with a reliable model and high accuracy is crucial for comprehending hydrological and meteorological systems. It is vital for the production of renewable and clean energy. This research aims to evaluate the performance of combined variational mode d...

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Bibliographic Details
Main Authors: Mohammed Abdallah, Babak Mohammadi, Hamid Nasiri, Okan Mert Katipoğlu, Modawy Adam Ali Abdalla, Mohammad Mehdi Ebadzadeh
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Global solar radiation
Recurrent fuzzy neural network
Quantile regression forests
Meteorological factor
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723015068

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