A fully adaptive forecasting model for short-term drinking water demand
Our model forecasts the water demand in 15-mintime steps for the next 48h. The model discerns patterns for the days of the week and a number of deviant days. We tested the model on six datasets of six years of water demand. The average forecasting errors varied between 1.7 and 5.5% for the 24-hforecasts. And between 3.5 and 10.6% for the 15-minforecasts.
water demand demand forecasting optimal control short term water distribution