Evaluation and forecasting of gas consumption by statistical analysis

Date

2004-02-01

Author

Gorucu, FB
Gumrah, F

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This study includes an approach to understand the factors affecting gas demand and to forecast gas consumption by multivariable regression analysis for the capital city of Ankara, Turkey. The process of the study is developing a statistical model and testing the model for the past years to understand how accurate it is. After obtaining the most reliable model, forecasting the gas consumption for the remaining days of 2002 and the year 2005 is performed. During the project, by the means of economical conditions, two scenarios, optimistic and pessimistic, are developed to get the idea of how the input variables are going to be changed in the following years. The model yields very satisfactory results and the range of gas consumption for the years 2002 and 2005 for the city Ankara is obtained.

Subject Keywords

Gas consumption, Multivariable regression analysis, Forecasting

URI

https://hdl.handle.net/11511/65835

Journal

ENERGY SOURCES

DOI

https://doi.org/10.1080/00908310490256617

Collections

Department of Petroleum and Natural Gas Engineering, Article

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Citation Formats

F. Gorucu and F. Gumrah, “Evaluation and forecasting of gas consumption by statistical analysis,” ENERGY SOURCES, pp. 267–276, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65835.