Corrigendum to “Comparison of conventional and simple artificial neural network models for high-performance separation of global solar irradiance components at minutely resolution” [Sol. Energy 301 (2025) 113878]

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy Pub Date : 2025-09-23 DOI:10.1016/j.solener.2025.114017

Jose A. Ruiz-Arias , Enrique Domínguez , Christian A. Gueymard

引用次数: 0

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“常规和简单人工神经网络模型在精细分辨率下对全球太阳辐照度组分进行高性能分离的比较”[Sol.能源301(2025)113878]的勘误表。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Solar Energy 工程技术-能源与燃料

CiteScore

13.90

自引率

9.00%

发文量

审稿时长

47 days

期刊介绍： Solar Energy welcomes manuscripts presenting information not previously published in journals on any aspect of solar energy research, development, application, measurement or policy. The term "solar energy" in this context includes the indirect uses such as wind energy and biomass