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The paper presents methodologies able to predict dynamic hot water consumption in district heating systems, using time-series analysis. A simulation model according to the day of a week has been chosen for modeling the domestic hot water consumption in a block of flats with 60 apartments. The analysis of the residuals indicates good simulation and prediction models for the cases studied. Double-cross validation was done using data collected by the SCADA system from District Heating Company of Iasi.