Comparative Analysis of Prediction on Solar Radiation in Energy Generation System using Random Forest and Decision Tree

Abstract

The solar radiation estimation is very important for developing and design of solar energy production system in generation of non-renewable energy. But the data set of Global solar radiation is not easily obtainable in all places of India due to some technical issues and cost in measurement technologies. Consequently it is important to forecasting the solar radiation prediction using some techniques by input parameters namely Time, Radiation, Temperature, Pressure, Humidity, Wind Direction, Speed, Time Sun rise and Time sun set. In this paper the author focused on analyzing the solar radiation prediction using Random Forest technique. This analysis gives more clear knowledge in prediction performance using machine learning algorithms.