AI in predicting solar radiation paving the way to a more sustainable and greener future
Predicting solar radiation plays a vital role in optimizing the efficiency and performance of solar energy systems. By leveraging the power of artificial intelligence capabilities, specifically machine learning algorithms like the Bagging Regressor, the accuracy, and reliability of forecasts can be significantly enhanced. Blinx AI’s Solar Emission app provides accurate and reliable predictions of solar radiation levels. The app examines input features such as UNIX Time, Temperature, Pressure, Humidity, and others to forecast solar radiation.