… KUKL is currently using the traditional method of demand calculation depending only on …
to develop a multivariate model using the ANN to forecast the domestic water demand of the …

… ANN models outperform different regression and time series models for short-term peak water
demand forecasting for … for short-term water demand forecasts. The performance of ANN …

… models and conventional artificial neural networks) have limited power in practice due to
the nonlinear nature of changes in water demand… in water demand, such as during the peak …

… and catching the peaks in time series, … daily water demand data are collected from 1st
January 2016 to 11th September 2020, with the first 998 daily data are used for training the model …

… underlying factors that affect water use, provide information on when peak day events are
likely to … Peak daily water demand forecast modeling using artificial neural networks. Journal of …

… steadily outperformed the regression and time series models. … models for peak daily water
demand prediction and found that the ANN models were more precise than the other models. …

… most accurate model for one-step-ahead prediction of water demand. A time step interval is
defined as one day. Data … The summer demand peak is six times multiple the winter level and …

… forecast of water and energy demand in urban areas is of great significance for policy
planning. In the study of water demand forecasting, Cengiz Koç forecasted the water …

… neural networks for weekly peak water demand forecasting. … of rainfall occurrence on peak
weekly forecasting, concluding … to forecast monthly, weekly, daily, and hourly water demand. …

… The touristic season lasts from April to September with a sharp peak in August (Fig. 2), …
Marineli, “A short-term pattern-based model for water demand forecasting”, Journal of Hydro …