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Paper Information

Journal:   IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE)   WINTER 2012 , Volume 31 , Number 4 (64); Page(s) 77 To 84.
 
Paper: 

SHORT-TERM AND MEDIUM-TERM GAS DEMAND LOAD FORECASTING BY NEURAL NETWORKS

 
 
Author(s):  AZARI AHMAD, SHARIATY NIASSAR MOJTABA*, ALBORZI MAHMOUD
 
* SCHOOL OF CHEMICAL ENGINEERING, COLLEGE OF ENGINEERING, UNIVERSITY OF TEHRAN, TEHRAN, I.R. IRAN
 
Abstract: 
The ability of Artificial Neural Network (ANN) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real concern.
As the most applicable network, the ANN with multi-layer back propagation perceptron’s is used to approximate functions. Throughout the current work, the daily effective temperature is determined, and then the weather data with the gas consumption data of the last days are used for network training. It is shown that nearly 93% and 98.9% of the result is in a good agreement with the real data for the daily gas load forecasting and those of the monthly respectively. These results clearly show the capability of the presented networks. The method, however, can further be developed for prediction of other required information in various industries.
 
Keyword(s): GAS DEMAND, GAS CONSUMPTION, FORECASTING, ARTIFICIAL NEURAL NETWORK (ANN), BACK PROPAGATION
 
 
References: 
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Citations: 
 
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APA: Copy

AZARI, A., & SHARIATY NIASSAR, M., & ALBORZI, M. (2012). SHORT-TERM AND MEDIUM-TERM GAS DEMAND LOAD FORECASTING BY NEURAL NETWORKS. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), 31(4 (64)), 77-84. https://www.sid.ir/en/journal/ViewPaper.aspx?id=276874



Vancouver: Copy

AZARI AHMAD, SHARIATY NIASSAR MOJTABA, ALBORZI MAHMOUD. SHORT-TERM AND MEDIUM-TERM GAS DEMAND LOAD FORECASTING BY NEURAL NETWORKS. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE). 2012 [cited 2021July26];31(4 (64)):77-84. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276874



IEEE: Copy

AZARI, A., SHARIATY NIASSAR, M., ALBORZI, M., 2012. SHORT-TERM AND MEDIUM-TERM GAS DEMAND LOAD FORECASTING BY NEURAL NETWORKS. IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE), [online] 31(4 (64)), pp.77-84. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=276874.



 
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