Context

This is a useful dataset to train and test Machine Learning forecasting algorithms and compare results with the official forecast from weekly pre-dispatch reports. The following considerations should be kept to compare forecasting results with the weekly pre-dispatch forecast:

1. Saturday is the first day of each weekly forecast; for instance, Friday is the last day.
2. A 72 hours gap of unseen records should be considered before the first day to forecast. In other words, next week forecast should be done with records until each Tuesday last hour.

Data sources provide hourly records. The data composition is the following:

1. Historical electricity load, available on daily post-dispatch reports, from the grid operator (CND).
2. Historical weekly forecasts available on weekly pre-dispatch reports, both from CND.