Solar Radiation Machine Learning Production Depend on Training Neural Networks with Ant Colony Optimization Algorithms

Abstract:  Solar radiation one of the most important application in solar energy research so many research papers introduce to analyse the influence it. The great importance of Global Solar Radiation (GSR), the number of radiation stations are very less when compared to the stations that collect regular meteorological data like air temperature and humidity. This paper investigates new machine learning model meanly depend on an Artificial Neural Network (ANN) and Ant Colony Optimization (ACO). The prediction accuracy of the solar radiation depends on the best way to dataset optimization and training algorithm. This paper shows that prediction using (ANN) with dataset prepossessing by using (ACO) are more accurate and powerful when compared to conventional models

Keywords:  Solar Radiation, Machine learning, Ant Colony Optimization, Artificial Neural Network.