基于多因子的太阳辐照度预测方法研究进展

兰昆; 吴战波; 赵泽妮; 贾凌云; 杨柳; 云斯宁

doi:10.19912/j.0254-0096.tynxb.2023-0148

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 593-601. DOI: 10.19912/j.0254-0096.tynxb.2023-0148

基于多因子的太阳辐照度预测方法研究进展

兰昆¹, 吴战波², 赵泽妮², 贾凌云², 杨柳³, 云斯宁^2,4

作者信息 +

ADVANCE IN PREDICTION METHODS FOR SOLAR IRRADIANCE BASED ON MULTIPLE-FACTORS

Lan Kun¹, Wu Zhanbo², Zhao Zeni², Jia Lingyun², Yang Liu³, Yun Sining^2,4

Author information +

文章历史 +

摘要

针对太阳辐照度的不稳定性和间歇性出力问题,总结并分析太阳辐照度预测领域当前的研究现状。从预测方法、预测流程、输入参数、评价指标等方面出发,对近年来不同地区、不同时间尺度下的太阳辐照度的预测进行详细的对比和分析。研究发现,基于时间序列、机器学习及混合系统的预测方法是当前主流的太阳辐照度预测方法。

Abstract

Considering the instability and intermittent output of solar irradiance, the current research status of solar irradiance prediction was summarized and analyzed in this review paper. From the perspectives of prediction methods, fprediction procedures, input parameters, and evaluation metrics, this work conducts a detailed comparison and analysis of solar irradiance predictions across various regions and time scales. It has been found that the prediction methods based on time series, machine learning and hybrid system are the popular methods in the field of solar irradiance prediction.

导出引用

兰昆, 吴战波, 赵泽妮, 贾凌云, 杨柳, 云斯宁. 基于多因子的太阳辐照度预测方法研究进展[J]. 太阳能学报. 2024, 45(5): 593-601 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0148

Lan Kun, Wu Zhanbo, Zhao Zeni, Jia Lingyun, Yang Liu, Yun Sining. ADVANCE IN PREDICTION METHODS FOR SOLAR IRRADIANCE BASED ON MULTIPLE-FACTORS[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 593-601 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0148

中图分类号： TQ174

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