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Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models

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  • Pala, Zeydin

Abstract

Accurate natural gas consumption forecasting plays a significant role in production, supply, and dispatching. Therefore, in this study, a new multi-hybrid model methodology is proposed that combines both statistical and deep learning models to obtain better prediction results beyond individual models or constrained hybrid models in linear and non-linear modeling. Here, long-term natural gas consumption future forecast analyzes were performed for the USA natural gas vehicle fuel (NG-VFC) dataset from January 1997 to October 2021 and for the USA natural gas industrial consumption (NG-IC) dataset between January 2001 and October 2021.

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  • Pala, Zeydin, 2023. "Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222027128
    DOI: 10.1016/j.energy.2022.125826
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    References listed on IDEAS

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