RESEARCH PROGRESS ON SHORT-TERM PREDICTION METHODS OF SURFACE SOLAR RADIATION

Jin Cunyin; Zhang Shuhua; Li Xingong; Tian Qianqian; Wang Qianru; Wang Mohan

doi:10.19912/j.0254-0096.tynxb.2022-1246

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 150-161. DOI: 10.19912/j.0254-0096.tynxb.2022-1246

RESEARCH PROGRESS ON SHORT-TERM PREDICTION METHODS OF SURFACE SOLAR RADIATION

Jin Cunyin¹, Zhang Shuhua¹, Li Xingong², Tian Qianqian¹, Wang Qianru¹, Wang Mohan³

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Abstract

In this paper, according to the data sources and prediction methods used in short-term surface solar radiation prediction, the current short-term prediction methods of surface solar radiation are summarized into four categories： prediction methods based on ground observation data, based on remote sensing data, based on total sky images, and numerical weather prediction models. This paper presents the research progress of four short-term surface solar radiation prediction methods, and evaluates their applicability, advantages and disadvantages. Finally, the future development of the short-term surface solar radiation prediction methods is prospected.

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solar radiation / remote sensing / prediction / statistical models / total sky imager / numerical weather prediction model

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Jin Cunyin, Zhang Shuhua, Li Xingong, Tian Qianqian, Wang Qianru, Wang Mohan. RESEARCH PROGRESS ON SHORT-TERM PREDICTION METHODS OF SURFACE SOLAR RADIATION[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 150-161 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1246

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