Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables

Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables

This paper develops an approach for two-day-ahead global horizontal irradiance (GHI) forecast using the naïve Bayes classifier (NB). Based on publicly available weather forecasting information about temperature, relative humidity, dew point, and sky coverage, they are used as a training set...

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Bibliographic Details
Main Authors: Youngsung Kwon, Alexis Kwasinski, Andres Kwasinski
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
global horizontal irradiance
naïve Bayes classification
diurnal variation
kernel density estimation
Online Access:https://www.mdpi.com/1996-1073/12/8/1529

Internet

https://www.mdpi.com/1996-1073/12/8/1529

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