Prediction of solar irradiance with machine learning methods using satellite data

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-02-01 DOI:10.1080/15435075.2024.2305857

Ugur Ercan, Abdulkadir Kocer

引用次数: 0

Abstract

Solar energy is used in many domestic and industrial areas. To make maximum use of solar energy, it is important to know the irradiance value per unit area. Irradiance measurements are carried out ...

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利用卫星数据的机器学习方法预测太阳辐照度

许多家庭和工业领域都在使用太阳能。为了最大限度地利用太阳能，了解单位面积的辐照度值非常重要。辐照度测量 ...

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

International Journal of Green Energy 工程技术-能源与燃料

CiteScore

6.60

自引率

9.10%

发文量

112

审稿时长

3.7 months

期刊介绍： International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.