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These three notebooks deals with: a) Data Exploratory Analysis (DEA) of the input dataset, which was obtained from NASA Satellites, covering 2013 - nov2022. b) Machine Learning Algorithms, without explicit time dependence, selected to predict the solar irradiance (all sky - short wave). c) Vector Autoregression (VAR), Time Series, analysis, associated to statistics tests: ADF, Granger, Durbin-Watson, Johansen, used to predict the solar irradiance (all sky - short wave).
specific instructions to set the notebooks to run the specific cases are available within the notebook instructions.
Solar Energy; Machine Learning; Amazon Basin; Time Series; Mean Absolute Error; Gradient Boosting; Random Forest.
Solar Energy; Machine Learning; Amazon Basin; Time Series; Mean Absolute Error; Gradient Boosting; Random Forest.
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