黄晶,李锐海,王颂,张海鹏,李昊,张贵峰,赵林杰,黎振宇

• 1:南方电网科学研究院

摘要(Abstract)：

利用太阳能发电是降低碳排放，构建新型电力系统的有效途径之一。太阳辐射受气象因素影响明显，利用气象数据和相关方法对太阳辐射进行预报是提高新型电力系统稳定性的重要手段。阐述了太阳辐射预报方法的分类，主要介绍了4种不同预报方法的基本预报原理及应用进展，并总结了各种预报方法的优点和缺点。在实际预报过程中，需要综合考虑各种预报方法的预报时效和优、缺点，结合自身的预报需求，选取最为合适的方法对太阳辐射进行预报。以期为气象行业及新能源行业从业者进行相关研究和开展业务提供参考。

关键词(KeyWords)： 太阳辐射预报;气象大数据;数值天气预报;云图;机器学习

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 黄晶,李锐海,王颂,张海鹏,李昊,张贵峰,赵林杰,黎振宇

DOI: 10.19911/j.1003-0417.tyn20220121.02

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