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Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence
14 references·1 citing·39 second hop
Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence (2019)Multi-variable grey model based on dynami…Estimation of electronic waste using optimized multivariate grey models (2019)Estimation of electronic wast…A new multivariable grey prediction model with structure compatibility (2019)A new multivariable grey pred…Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China (2018)Using a novel multi-variable …Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application (2018)Improved multi-variable grey …A novel multivariate grey model for forecasting the sequence of ternary interval numbers (2018)A novel multivariate grey mod…A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries (2018)A novel discrete grey multiva…Interval-valued time series forecasting using a novel 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References

  • 1982Control problems of grey systems4,503 cited
  • 2011Grey Systems: Theory and Applications369 cited
  • 2010Grey Systems: Theory and Applications359 cited
  • 2018Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China228 cited
  • 2019A new multivariable grey prediction model with structure compatibility203 cited
  • 2010Holt’s exponential smoothing and neural network models for forecasting interval-valued time series184 cited
  • 2018Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application161 cited
  • 2018A novel discrete grey multivariable model and its application in forecasting the output value of China’s high-tech industries135 cited
  • 2019Estimation of electronic waste using optimized multivariate grey models131 cited
  • 2016An improved grey multivariable model for predicting industrial energy consumption in China120 cited
  • 2016Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model78 cited
  • 2015Triangular fuzzy series forecasting based on grey model and neural network52 cited
  • 2013A novel interval grey prediction model considering uncertain information41 cited
  • 2018A novel multivariate grey model for forecasting the sequence of ternary interval numbers

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  • 2020APPLICATION OF OPTIMIZED FRACTIONAL GREY MODEL-BASED VARIABLE BACKGROUND VALUE TO PREDICT ELECTRICITY CONSUMPTION36 cited