Using artificial intelligence for global solar radiation modeling from meteorological variables

Salma Zaim, Mohamed El Ibrahimi, Asmae Arbaoui, Abderrahim Samaouali, Mouhaydine Tlemcani and Abdelfettah Barhdadi

Renewable Energy, 2023, vol. 215, issue C

Abstract: Long-term quantification of solar energy variables at ground level is not easily achievable in many locations. In order to overcome this limitation, use of artificial intelligence such as the application of machine learning methods is commonly used for solar irradiance prediction.

Keywords: Global solar radiation; Modeling; Artificial neural network; Levenberg marquardt algorithm; EXtreme gradient boosting; Morocco (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:215:y:2023:i:c:s0960148123008017

DOI: 10.1016/j.renene.2023.118904

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