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Solar Energy Applications (SOLEA)

We provide nowcasting and forecasting solar energy applications (www.solea.gr) based on solar irradiance spectra produced via a synergy model of neural networks and radiative transfer simulations. This model revolves around a state-of-the-art neural network trained on a large-scale (2.5M record) look-up table of clear and cloudy sky radiative transfer simulations to convert satellite cloud and aerosol products directly into solar radiation at high resolution (1nm, 0.05 x 0.05 degrees, 15-min). Local or regional maps of the total irradiances serve high precision solar power applications. Cross-validation with other models and ground-based measurements has been performed to guarantee the quality and accuracy of our products. This approach is ideal for correct assessments of the solar energy potential and for providing accurate solar energy applications in real-time.
 
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