Information regarding water demand is key to managing consumption in irrigation districts.
Forecasting water demand is one of the main problems for designers and managers of water …

One of the main problems in the management of large water supply and distribution systems
is the forecasting of daily demand in order to schedule pumping effort and minimize costs …

Recently, Computational Neural Networks (CNNs) and fuzzy inference systems have been
successfully applied to time series forecasting. In this study the performance of a hybrid …

Highlights•Forecasting of daily irrigation water demand model with data available is
limited.•The Bayesian framework approach and GAs were used to find the optimal ANN.•The …

Efficient management of a drinking water network reduces the economic costs related to
water production and transport (pumping). Model predictive control (MPC) is nowadays a …

For the past several years, Cyprus has been facing an unprecedented water crisis. Four
options that have been considered to help resolve the problem of drought in Cyprus include …

Information about the parameters defining water resources availability is a key factor in their
management. Reference evapotranspiration (ET 0) prediction is fundamental in planning …

Nowadays, a large number of water utilities still manage their operation on the instant water
demand of the network, meaning that the use of the equipment is conditioned by the …

Peak daily water demand forecasts are required for the cost-effective and sustainable
management and expansion of urban water supply infrastructure. This paper compares …

This work is concerned with forecasting water demand in the metropolitan area of São Paulo
(MASP) through water consumption, meteorological and socio-environmental variables …