丁松,蔡智建,叶俊涛. Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model，Technological Forecasting and Social Change(208)：2024-01-01
丁松,神兴傲,张华汉,吴彦祖,蔡智建. FNNGM: A neural-driven fractional-derivative multivariate fusion model for interpretable real-time CPI forecasts，Knowledge-Based Systems(304)：2024-01-01
丁松,蔡智建,秦兴欢,神兴傲. Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior matching algorithms，Applied Energy，367,123386：2024-08-01
丁松,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 and Industrial Engineering，192,110195：2024-06-01
丁松,蔡智建,叶俊涛,马汴京. 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
丁松,李若瑾,Liu, Zhen,李垚,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
丁松,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
丁松,张华汉. Forecasting Chinese provincial CO2 emissions: A universal and robust new-information-based grey model，Energy Economics，121,106685：2023-05-01
丁松,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
教师个人主页
