DingSong Doctoral Supervisor   Master Tutor

Teacher College:School of Economics

Name (English):DingSong

Name (Pinyin):dingsong

E-Mail:

Business Address:图书馆517,
经济学院6-310

Gender:Male

Contact Information:dings1129@zufe.edu.cn

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Paper Publications

  • DingSong,叶金鑫,李若瑾. 城市高质量发展的水平测度与时空演变,统计与决策,2024年12期:98-102,5:2024-06-30
  • DingSong,神兴傲,张华汉,蔡智建,王怡. An innovative data-feature-driven approach for CO2 emission predictive analytics: A perspective from seasonality and nonlinearity characteristics,Computers & Industrial Engineering,192,110195:2024-06-01
  • DingSong,蔡智建,叶俊涛,Ma Bianjing. A unified new-information-based accumulating generation operator basedon feature decoupling for multi-characteristic time series forecasting,Applied Soft Computing,卷154:2024-03-01
  • DingSong,李若瑾,Liu, Zhen,liyao,Geng, Shuaishuai. Sustainable potential of the strategic emerging industries: Insights from technological innovation, economy, and ecology,Journal of Cleaner Production,卷: 434:2024-01-01
  • DingSong,胡佳埼,林倩倩. Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model,Energy Economics,126,107013:2023-10-01
  • DingSong,张华汉. Forecasting Chinese provincial CO2 emissions: A universal and robust new-information-based grey model,Energy Economics,121,106685:2023-05-01
  • DingSong,李若瑾,郭俊哈. An entropy-based TOPSIS and optimized grey prediction model for spatiotemporal analysis in strategic emerging industry,Expert Systems wit Applications,卷213 子辑C,119169:2023-03-01
  • DingSong,陶醉,李若瑾,秦兴欢. A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting,Expert Systems With Applications,208,118115:2022-12-01
  • DingSong,张华汉,陶醉,李若瑾. Integrating data decomposition and machine learning methods: An empirical proposition and analysis for renewable energy generation forecasting,Expert Systems With Applications,204,117635:2022-10-15
  • DingSong,陶醉,胡佳琦. Forecasting the economic indices of the high-tech industries in China using the grey multivariable convolution model,Applied Soft Computing,126,109301:2022-09-01
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