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