Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States

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Title
Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States
Authors
Keywords
Shale gas, Nonlinear metabolic grey model, Artificial neural network, ARIMA, Hybrid forecasting technique
Journal
ENERGY
Volume 178, Issue -, Pages 781-803
Publisher
Elsevier BV
Online
2019-04-28
DOI
10.1016/j.energy.2019.04.115

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