Post-processing Techniques for Renewable Energy Forecasts

Here is a review of the most common statistical post-processing methods used in renewable energy forecasting. The main methods discussed here are: machine learning, model output statistics, Kalman filters, regression models, historical analogs and a process of post-processing depending on weather typing.