Time series analysis and prediction of the production of renewable energy in the United States.
The dataset used corresponds to monthly measurements of renewable energy production in the US from 1990 to 2018, both included.
We used R’s powerful built-in time series analysis tools to identify trends, yearly patterns, outlier values and others. We also built ARIMA models to forecast future values not yet present in the data.