Optimal load management using digitization and artificial intelligence in industrial companies.

In order to be able to make a peak load forecast as detailed as possible, maximum transparency and a large amount of data per consumer are required. Measuring the total consumption at the main connection point alone is no longer sufficient. Rather, we need to gather information about which individual consumption resulted in the total consumption, i.e. which consumer was responsible for a peak load at what time and for what reason. Only in this way can we optimally train artificial intelligence in order to be able to make correct predictions for the future.