The Fracsun CLEO AI stands at the forefront of solar energy management, combining advanced machine learning techniques with comprehensive weather data. With ongoing improvements and a growing dataset, it promises to deliver even more accurate predictions, enhancing the efficiency of solar energy systems. Simulated Soiling Loss TMY Monthly Soiling Loss Averages January Full Year

SPECIFICATIONS Enhanced Energy Production Optimize cleaning schedules based on predictive insights. Data-Driven Decisions Utilize real-time data for effective asset management. Access location-specific predictions effortlessly. Weather Data Interpolation Utilizes Spatial Kriging to fill data gaps and provide comprehensive weather datasets. Training Data Creation Integrates historical soiling observations with weather data for robust predictions. Soiling Rate Prediction Employs Random Forest Regressor, ideal for non-linear environmental data, ensuring high accuracy. Spatial Kriging Leverages historical...