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Forecasting natural gas consumption
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this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,282 cited
  • 1966Pooling Cross Section and Time Series Data in the Estimation of a Dynamic Model: The Demand for Natural Gas1,005 cited

Cited by

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  • 2018A novel self-adapting intelligent grey model for forecasting China's natural-gas demand98 cited
  • 2013Temporal and spatial trends of residential energy consumption and air pollutant emissions in China98 cited
  • 2016Year Ahead Demand Forecast of City Natural Gas Using Seasonal Time Series Methods92 cited
  • 2021Forecasting Natural Gas Production and Consumption in United States-Evidence from SARIMA and SARIMAX Models92 cited
  • 2016Model Estimation of ARMA Using Genetic Algorithms: A Case Study of Forecasting Natural Gas Consumption82 cited
  • 2020A D2C algorithm on the natural gas consumption and economic growth: Challenges faced by Germany and Japan71 cited
  • 2018Forecasting Natural Gas: A Literature Survey65 cited
  • 2020A MFO-based conformable fractional nonhomogeneous grey Bernoulli model for natural gas production and consumption forecasting62 cited
  • 2018Cleaner energy conversion and household emission decomposition analysis in Indonesia61 cited
  • 2020Monthly natural gas demand forecasting by adjusted seasonal grey forecasting model27 cited

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  • 2017Assessing the Quality of Natural Gas Consumption Forecasting: An Application to the Italian Residential Sector26 cited
  • 2015Forecasting China’s Annual Biofuel Production Using an Improved Grey Model24 cited