Solar irradiance forecasting using ARMAX models as RLS filters and satellite data.

We implement an ARMAX algorithm in a Recursive Least Squares fashion to forecast solar irradiance. The exogenous variables are the variability of the series and satellite cloud estimation.

• Use data2npy.py to convert the raw data to numpy arrays
• Use get_results_bf.py to compute vectors used when displaying results. We used this to compute the .csv files containing the errors, available at http://les.edu.uy/pub/ARMAX-RLS.csv
• Display results with show_results.py and show_results_models.py

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