Artificial neural network modeling for forecasting gas consumption

Date

2004-02-01

Author

Gorucu, FB
Geris, PU
Gumrah, F

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This study includes an approach to evaluate and forecast gas consumption by Artificial Neural Network (ANN) modeling for the capital city of Ankara, Turkey. ANN models have been trained to perform complex functions in various fields of application including the forecasting process. The process of the study is examining the factors affecting the output and training the ANNs to decide the optimum parameters to be used in forecasting the gas consumption for the remaining days of 2002 and the year 2005. During the project, some optimistic (assuming the stable economical conditions) and the pessimistic (considering an economical crisis) scenarios are handled to get the idea for the following years' gas consumption amount in a range that will remain between these two scenarios.

Subject Keywords

Fuel Technology, Energy Engineering and Power Technology, General Chemical Engineering

URI

https://hdl.handle.net/11511/67238

Journal

ENERGY SOURCES

DOI

https://doi.org/10.1080/00908310490256626

Collections

Department of Petroleum and Natural Gas Engineering, Article

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Citation Formats

F. Gorucu, P. Geris, and F. Gumrah, “Artificial neural network modeling for forecasting gas consumption,” ENERGY SOURCES, pp. 299–307, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67238.