The objective of this study is to give a summary of machine learning-based techniques for solar irradiation forecasting
in this context. Despite the fact that numerous research describe methods like neural networks or support vector regression.
Ranking the performance of such methods is difficult because of the diversity of the data collection, time step, forecasting
horizon, setup, and performance indicators.