Multi-Horizon Forecasting of Global Horizontal Irradiance Using Online Gaussian Process Regression: A Kernel Study

Multi-Horizon Forecasting of Global Horizontal Irradiance Using Online Gaussian Process Regression: A Kernel Study

In the present paper, global horizontal irradiance (GHI) is modelled and forecasted at time horizons ranging from 30 <inline-formula><math display="inline"><semantics><mi>min</mi></semantics></math></inline-formula> to 48 <inline-formula&g...

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Bibliographic Details
Main Authors: Hanany Tolba, Nouha Dkhili, Julien Nou, Julien Eynard, Stéphane Thil, Stéphane Grieu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
solar resource
global horizontal irradiance
time series forecasting
machine learning
online Gaussian process regression
online sparse Gaussian process regression
Online Access:https://www.mdpi.com/1996-1073/13/16/4184

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https://www.mdpi.com/1996-1073/13/16/4184

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