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Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model

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References

1996Residual-based tests for cointegration in models with regime shifts2,521 cited
1978ON THE RELATIONSHIP BETWEEN ENERGY AND GNP2,200 cited
2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
2009Grey system theory-based models in time series prediction788 cited
2008Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model776 cited
2006ARIMA forecasting of primary energy demand by fuel in Turkey622 cited
2010Options for Achieving a 50% Cut in Industrial Carbon Emissions by 2050491 cited
2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey441 cited
2008Energy consumption and economic growth: The experience of African countries revisited409 cited
2003Applications of improved grey prediction model for power demand forecasting387 cited
2010Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India356 cited
1992Modeling long-run behavior with the fractional ARIMA model352 cited
2010Forecasting energy consumption using a grey model improved by incorporating genetic programming294 cited
2016Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization

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2016Journey to burning half of global coal: Trajectory and drivers of China׳s coal use151 cited

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