Advanced quantitative analysis methods for water consumption forecasting
Publish Year: 1388
Type: Conference paper
Language: English
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Document National Code:
ICAWTR01_162
Index date: 10 May 2011
Advanced quantitative analysis methods for water consumption forecasting abstract
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.
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Advanced quantitative analysis methods for water consumption forecasting authors
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