For minimizing water production and transport costs in drinking water networks, it is necessary to forecast drinking water demand. The authors propose two models using neural networks. The first forecasts the demand of the next hour and the second forecasts the next twelve hours. Results are encouraging and allow fall the safety margin allowed for each reservoir in water supply.