TAF PUBLISHING

Water is a basic necessity in our daily activities. Therefore, there should be enough supply of water to meet our demands. On average, in Cebu City, the Philippines alone, 24 cubic meters per household per month is used [1]. To meet the demand, water has to be properly distributed considering several factors, which are: (1) temperature, (2) precipitation, (3) population, (4) water rates, (5) historical water use, (6) water supply, and (7) socioeconomic profile. This study developed an Artificial Neural Network (ANN) water distribution decision support system that predicted water demand. The ANN was trained using historical records of the factors mentioned above and provided municipal and barangay water demand predictions with accuracy above 90%.