Enhancing the estimation of direct normal irradiance for six climate zones through machine learning models-Reference-Cited by-同舟云学术

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Enhancing the estimation of direct normal irradiance for six climate zones through machine learning models

Published:2024-09 Issue: Volume:231 Page:120925
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Rodríguez Eduardo^ORCID,Droguett Enrique López,Cardemil José M.^ORCID,Starke Allan R.^ORCID,Cornejo-Ponce Lorena^ORCID

Publisher

Elsevier BV

Reference72 articles.

1. A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects;Gueymard;Renew. Sustain. Energy Rev.,2014

2. Assessment of solar radiation data quality in typical meteorological years and its influence on the building performance simulation;Bre;Energy Build.,2021

3. Generation of a typical meteorological year for global solar radiation in Taiwan;Hsieh;Energies,2023

4. Performance and estimation of solar radiation models in state of Minas Gerais, Brazil;Cunha;Model. Earth Syst. Environ.,2021

5. Country-level evaluation of solar radiation data sets using ground measurements in China;Cao;Energy,2022

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