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Machine learning scrap steel price forecasts for the regional east Chinese market
16 references·1 citing·37 second hop
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References

  • 1996A test for independence based on the correlation dimension3,526 cited
  • 1997Testing the equality of prediction mean squared errors2,123 cited
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  • 2020A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series481 cited
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  • 2024Forecasting wholesale prices of yellow corn through the Gaussian process regression277 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2024Wholesale price forecasts of green grams using the neural network243 cited
  • 2024Price forecasting through neural networks for crude oil, heating oil, and natural gas239 cited
  • 2024Forecasts of coking coal futures price indices through Gaussian process regressions225 cited
  • 2024Thermal coal futures trading volume predictions through the neural network215 cited
  • 2025Peanut oil price change forecasts through the neural network214 cited
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Carbon emission allowance price forecasting for China Guangdong carbon emission exchange via the neural network
213 cited
  • 2023China mainland new energy index price forecasting with the neural network189 cited
  • Cited by

    • 2025Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market26 cited