Probabilistic Wind Power Forecasting Model - Case Study Datasets

Two datasets are provided.

The file named “InputData.xlsx’ is related to the wind power data used to train the model. The data consisted of half-hourly aggregated wind power values from wind farms across the Great Britain for the period of 01/03/2014–30/9/2014. Column headings are included to explain the variables.

The file named “Outputs.mat’ is related to model outputs. This file can be opened only if you have installed MATLAB at your system.

Once opened, a file of type “struct” includes all the forecast for different cases. This file is divided into fields, each of them representing a different scenario. So, the fields are divided based on the:

Number of Generated Forecasts;

Number of Magnitude Classes used for the training process;

The update frequency of the model (forecasting process)

For example the file “Outputs.Num_Of_Forecasts1000.MagnitudeClasses10.UpdateFreq16” shows the generated 1000 weekly forecasts, when using 10 Magnitude classes for the training and updating the model every 16 half hours.

Column headings are provided to help understand its column. The actual data are provided in order to compare the generated forecasts with them and evaluate the performance of the model.

Research results based upon these data are published at