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Short-term forecasting of renewable energy consumption: Augmentation of a modified grey model with a Kalman filter
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References

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  • 2015The impact of renewable energy consumption to economic growth: A panel data application849 cited
  • 2018CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions695 cited
  • 2012Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries640 cited
  • 2009Electricity consumption forecasting in Italy using linear regression models593 cited
  • 2016The role of renewable energy consumption in economic growth: Evidence from asymmetric causality530 cited
  • 2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey441 cited
  • 2016Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model393 cited
  • 2018Impact of economic growth, nonrenewable and renewable energy consumption, and urbanization on carbon emissions in Sub-Saharan Africa350 cited
  • 2018The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia295 cited
  • 2010Forecasting energy consumption using a grey model improved by incorporating genetic programming

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294 cited
  • 2018Renewable energy consumption, economic growth and human development index in Pakistan: Evidence form simultaneous equation model288 cited
  • 2003Applying the Grey prediction model to the global integrated circuit industry261 cited
  • 2011A Structural VAR Analysis of Renewable Energy Consumption, Real GDP and CO2 Emissions: Evidence from India242 cited
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    • 2020Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order58 cited
    • 2021Exploiting fractional accumulation and background value optimization in multivariate interval grey prediction model and its application55 cited
    • 2021Forecasting the seasonal natural gas consumption in the US using a gray model with dummy variables55 cited
    • 2020Constructing grey prediction models using grey relational analysis and neural networks for magnesium material demand forecasting53 cited
    • 2022A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting50 cited
    • 2021Coal consumption forecasting using an optimized grey model: The case of the world's top three coal consumers41 cited
    • 2022Forecasting the economic indices of the high-tech industries in China using the grey multivariable convolution model40 cited
    • 2022A novel nonlinear multivariable Verhulst grey prediction model: A case study of oil consumption forecasting in China39 cited