Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting

Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting

With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed. In recent years, machine learning techniques for GHI foreca...

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Bibliographic Details
Main Authors: Shab Gbémou, Julien Eynard, Stéphane Thil, Stéphane Grieu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Solar
Subjects:
global horizontal irradiance
Gaussian process regression
quasiperiodic kernels
machine learning
statistical models
time series forecasting
Online Access:https://www.mdpi.com/2673-9941/2/4/27

Internet

https://www.mdpi.com/2673-9941/2/4/27

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