A new artificial intelligence GANNATS model predicts gasoline demand of Saudi Arabia

Author:

Al-Fattah Saud M.

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference22 articles.

1. The responsiveness of fuel demand to gasoline price change in passenger transport: a case study of Saudi Arabia;Algunaibet;Energ Effic,2018

2. Gasoline demand in Saudi Arabia: an empirical analysis using an autoregressive distributed lag (ARDL) technique;Alsahlawi;J. Energy Dev.,2017

3. Artificial intelligence approach for modeling and forecasting oil-price volatility;Al-Fattah;SPE Reservoir Eval. Eng.,2019

4. Neural network approach predicts U.S. natural gas production;Al-Fattah;SPE Prod. Facil.,2003

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