Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm

Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm

The precise forecasting of daily solar radiation (DSR) is receiving prominent attention among thriving solar energy studies. In this study, three standalone models, including gene expression programing (GEP), multivariate adaptive regression splines (MARS), and self-adaptive MARS (SaMARS), were eval...

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Bibliographic Details
Main Authors: Mohammad Rezaie-Balf, Niloofar Maleki, Sungwon Kim, Ali Ashrafian, Fatemeh Babaie-Miri, Nam Won Kim, Il-Moon Chung, Sina Alaghmand
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
solar radiation forecasting
multivariate adaptive regression splines
crow search algorithm
complete ensemble empirical mode decomposition with adaptive noise
gene expression programing
Online Access:https://www.mdpi.com/1996-1073/12/8/1416

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https://www.mdpi.com/1996-1073/12/8/1416

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