An Interpretable Machine Learning Model for Daily Global Solar Radiation Prediction

Machine learning (ML) models are commonly used in solar modeling due to their high predictive accuracy. However, the predictions of these models are difficult to explain and trust. This paper aims to demonstrate the utility of two interpretation techniques to explain and improve the predictions of M...

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Autores principales: Mohamed Chaibi, EL Mahjoub Benghoulam, Lhoussaine Tarik, Mohamed Berrada, Abdellah El Hmaidi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/b747539a9fcd4b4291320360fb351d14
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