I Jahan Andish - Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran
A Derakhshani - Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran
A Keramati - Industrial Engineering Department, University College of Engineering, University of Tehran, Tehran, Iran

Using the accumulated data due to the water consumption of Tehran in the last 17 years, neural network techniques and regression methods are developed. The final effective model is achieved using and running different models that help to predict the consumption amount for the coming 12 months. The achieved results are showing that consumption rate will be increased. So attending the reserve and water consumption management in the coming years seems to be inevitable.

Water Consumption Forecasting, Neural Network, Regression Models