Development of Clear sky models for solar energy using Machine Learning

This presents the use of machine learning techniques for the development of a clear sky model that can be used for solar energy production. We developed a multi-strategy approach based on machine learning classification and time series analysis techniques.

The methodology was validated using 1 year of solar radiation data for Sacramento, CA. The data has a very high temporal resolution of 3 minutes, and it can be used for short term prediction.