Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions

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Title
Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions
Authors
Keywords
Solar radiation, Machine learning, Prediction accuracy, Model stability, Computational time, General model
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 183, Issue -, Pages 280-295
Publisher
Elsevier BV
Online
2019-01-19
DOI
10.1016/j.enconman.2018.12.103

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