“Utilities need to make predictions for the next day and plan their resources. The most accurate forecast possible for this is crucial for the company from an economic point of view. Even small deviations can cause high costs.”
Prof. Dominguez showed the students how to make predictions using historical data as a basis. For example, he uses load curves, weather data, temperature, wind and global radiation. In the lecture in particular, the students used consumption data from households and companies to make their own predictions.