The basis of this research is the innovative application of machine learning algorithms trained on advanced data sets to predict the components of solar radiation with unprecedented accuracy. The methodology is particularly revolutionary because it does not need local data for calibration, making it a universal solution.
Testing the model on independent data sets not only confirmed its effectiveness in China but also demonstrated its potential for global application. In addition, the new satellite data set created as a result of this study stands out with its superior accuracy compared to existing data sets and providing a detailed spatial distribution of solar radiation components.
Source: Ferra
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