One of the main improvements made at the end of the year was the optimization of algorithms and parameters for identifying readings that show consumption that is not in line with the customer's historical profile, so as to be able to concentrate complex verification and control activities on the cases that have the greatest probability of being anomalies, thus ensuring a high quality of the measurement data as a whole.