Physical Sciences and Mathematics Commons^™

Solar Irradiance Prediction Using Xg-Boost With The Numerical Weather Forecast, Pratyusha Sai Kamarouthu

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

To defeat global warming, the world expects to look at renewable energy sources. Solar energy is one of the best renewable energy sources which causes no harm to the environment. As solar energy changes with atmospheric parameters like temperature, relative humidity, cloud coverage, dewpoint, sun position, day of the year, etc. It is difficult to understand its nature by science. Predicting solar irradiance which is directly proportional to solar energy using atmospheric parameters is the main goal of this work. Powerful artificial intelligence algorithms that won many coding competitions have been used to predict it. Using these methods and numerical …