The thesis focuses on data analysis of the NSRDB dataset about solar irradiance and meteorological-atmospheric data. I implemented and studied data mining and machine learning techniques to analyze the data and carry out associations between the Global Horizontal UV Irradiance and all the other variables.

The thesis focuses on data analysis of the NSRDB dataset about solar irradiance and meteorological-atmospheric data. I implemented and studied data mining and machine learning techniques to analyze the data and carry out associations between the Global Horizontal UV Irradiance and all the other variables.

Solar irradiance and atmospheric data: an analysis using data mining and machine learning techniques

TOFFOLETTO, MASSIMO
2021/2022

Abstract

The thesis focuses on data analysis of the NSRDB dataset about solar irradiance and meteorological-atmospheric data. I implemented and studied data mining and machine learning techniques to analyze the data and carry out associations between the Global Horizontal UV Irradiance and all the other variables.
2021
Solar irradiance and atmospheric data: an analysis using data mining and machine learning techniques
The thesis focuses on data analysis of the NSRDB dataset about solar irradiance and meteorological-atmospheric data. I implemented and studied data mining and machine learning techniques to analyze the data and carry out associations between the Global Horizontal UV Irradiance and all the other variables.
data analysis
solar irradiance
linear regression
regularization
machine learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/34969