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Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network

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2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
2010Economic growth, CO2 emissions, and fossil fuels consumption in Iran426 cited
2006Modeling and optimization II: Comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction285 cited
2001A semiparametric approach to short-term oil price forecasting253 cited
2010Evidence of causality between the quantity and quality of energy consumption and economic growth246 cited
2005Modeling and forecasting cointegrated relationships among heavy oil and product prices172 cited
2005Exploiting the oil–GDP effect to support renewables deployment162 cited
2009Forecasting energy consumption in Taiwan using hybrid nonlinear models145 cited
1991Using belief networks to forecast oil prices84 cited

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2016LSSVR ensemble learning with uncertain parameters for crude oil price forecasting81 cited
2017Forecasting Crude Oil Prices: A Comparison Between Artificial Neural Networks and Vector Autoregressive Models81 cited
2018The VEC-NAR model for short-term forecasting of oil prices

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