Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models

Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models

Solar irradiance forecasting is essential in renewable energy grids amongst others for back-up programming, operational planning, and short-term power purchases. This study focuses on forecasting hourly solar irradiance using data obtained from the Southern African Universities Radiometric Network a...

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Bibliographic Details
Main Authors: Tendani Mutavhatsindi, Caston Sigauke, Rendani Mbuvha
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Forecast combination
machine learning
neural networks
solar irradiance forecasting
support vector regression
Online Access:https://ieeexplore.ieee.org/document/9244163/

Internet

https://ieeexplore.ieee.org/document/9244163/

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