South wall radiation prediction method based on solar radiation climate characteristic recognition

The invention relates to a south wall radiation prediction method based on solar radiation climate characteristic recognition. The method comprises the following steps: 1) obtaining local historical data; 2) defining a weather type index SCF, and dividing weather types for the historical data based on the weather type index SCF; and 3) classifying the local measured data according to the weather type index SCF, and selecting the corresponding prediction model to perform radiation prediction according to different weather types. Compared with the prior art, the method has the advantages of considering weather type classification prediction, improving the precision of the prediction model, being simple and accurate in weather type classification, performing hour scale prediction and the like. 本发明涉及一种基于太阳辐射气候特征识别的南墙辐射预测方法，包括以下步骤：1)获取当地历史数据；2)定义天气类型指数SCF，并基于天气类型指数SCF对历史数据划分天气类型；3)将当地实测数据按照天气类型指数SCF归类，并根据不同的天气类型选择对应的预测模型进行辐射预测。与现有技术相比，本发明具有考虑天气类型分类预测、提升预测模型精度、天气类型分类简单准确、小时尺度预测等优点。