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Twenty-four-hour ahead probabilistic global horizontal irradiance forecasting using gaussian process regression

Twenty-four-hour ahead probabilistic global horizontal irradiance forecasting using gaussian process regression

Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector regression for short-term hourly global horiz...

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Bibliographic Details
Main Authors: Chandiwana, Edina, Sigauke, Caston, Bere, Alphonce
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Core vector regression
Gaussian process
Lasso
Minimum enclosed ball
Solar power
Online Access:https:// doi.org/10.3390/a14060177
http://hdl.handle.net/11408/4701
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https:// doi.org/10.3390/a14060177
http://hdl.handle.net/11408/4701