Nowcasting Hourly-Averaged Tilt Angles of Acceptance for Solar Collector Applications Using Machine Learning Models

Nowcasting Hourly-Averaged Tilt Angles of Acceptance for Solar Collector Applications Using Machine Learning Models

Challenges in utilising fossil fuels for generating energy call for the adoption of renewable energy sources. This study focuses on modelling and nowcasting optimal tilt angle(s) of solar energy harnessing using historical time series data collected from one of South Africa’s radiometric stations, U...

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Bibliographic Details
Main Authors: Ronewa Collen Nemalili, Lordwell Jhamba, Joseph Kiprono Kirui, Caston Sigauke
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
renewable energy
machine learning
tilt angle
solar irradiance
global horizontal irradiance
gradient boosting
Online Access:https://www.mdpi.com/1996-1073/16/2/927

Internet

https://www.mdpi.com/1996-1073/16/2/927

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