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Abstrakt
Prediction of Long Term Residential Natural Gas Consumption Using ANN
Mohsen Hajabdollahi, Mostafa Hosseinzadeh and M.M Ghanadi Arab
Prediction of residential natural gas consumption in 20 next years was performed in this paper. Artificial neural
network (ANN) was used to predict the natural gas in the Kerman, the biggest province in the Iran. The Kerman is
included with ten important cities where gas consumption was estimated in each city. The minimum temperature in
each year, population growth rate and number of each year were considered as three input variables while the gas
consumption in residential section was as an output. The ANN was trained and tested using the data from 2000
to 2008 and applied for prediction in 20 next years from 2008-2028. The predicted result show that the total gas
consumption in residential section will increases approximately 1.8 time in 20 next years.