Identifying synoptic circulation patterns and their influence on solar irradiance intermittence by means of self-organizing maps.

A machine learning technique called Self-Organizing Maps (SOM) was employed to classify synoptic scale weather patterns in the vicinity of Buenos Aires, Argentina. Patterns that correlate with solar irradiance intermittence were identified in order to better understand conditions that give rise to variability in photovoltaic generation. [ABSTRACT FROM AUTHOR]