Daily irrigation water demand prediction using Adaptive Neuro-Fuzzy Inferences Systems (ANFIS).

Abstract

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. This paper examines a methodology for consumer demand modeling and prediction in a real-time environment of an irrigation water distribution system. The approach is based on Adaptive Neuro-Fuzzy Inferences System (ANFIS) technique. The data was taken from a Cretan water company named O.A.DY.K and concerns the area of prefecture of Chania. ANFIS was comprised with traditional forecasting techniques as the autoregressive (AR) and autoregressive moving average (ARMA) models. ANFIS provide the better prediction results of daily water demand. Key-Words: ANFIS; forecasting; neuro-fuzzy; water forecasting, irrigation water, neuro-fuzzy forecasting