不同气候区太阳辐射提前一小时预报的深度学习方法

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

International Journal of Green Energy Pub Date : 2024-04-18 DOI:10.1080/15435075.2024.2341824

Alper Yildirim, Mehmet Bilgili, Osman Kara

引用次数: 0

摘要

准确预测每小时全球太阳辐射对太阳能转换系统选择合适的省份，甚至未来的投资政策都至关重要。从这一角度出发，...

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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Deep learning approach for one-hour ahead forecasting of solar radiation in different climate regions

The accurate prediction of hourly global solar radiation is critical to solar energy conversion systems selecting appropriate provinces, and even future investment policies. With this viewpoint, th...

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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.