[1]数字化转型对鞋业企业价值创造的影响路径研究,进行,DingSong,chenxiang,Deng Xiaojun,wanghui,蔡智建,王怡,吴彦祖,钱芳媛
[2]数据特征驱动的灰色预测理论创新与应用研究,进行,国家社科基金后期资助一般项目,DingSong,党耀国,Wang Zhengxin
[3]基于大语言模型的数据要素驱动浙江省企业新质生产力发展研究,进行,2025年度浙江省统计研究计划项目重点项目,DingSong,Wang Zhengxin,Pan Maomao,liyao,神兴傲,蔡智建,钱芳媛
[4]“双碳”目标下新能源汽车驱动交通碳减排的时空机制研究——基于双重纠偏机器学习拓展模型,进行,杭州市哲学社会科学规划一般课题-基地课题(浙大城市学院ESG与可持续发展研究中心),DingSong,蔡智建,神兴傲,张华汉,叶俊涛,王怡,钱芳媛
[5]“双碳”目标约束下我国城市道路交通碳排放智能预测及减排策略研究,进行,2024年度浙江省自然科学基金一般项目,DingSong,wushu,liyao,王育红,王俊杰,蔡智建,神兴傲,张明菲,魏思月
[6]新发展格局下产业转移对城市碳排放的影响研究:理论机制、异质性及差异化政策,进行,2023年教育部人文社科一般青年项目,DingSong,Wang Zhengxin,wushu,Pei Lingling,liyao,张华汉,神兴傲,蔡智建,魏思月
[7]国网浙江金华面向“双碳”目标的电网多维成本价值信息融合关键技术及应用,完成,DingSong,Tong Xiayu,wushu,Wang XiaoYu,liyao,Miao Zhenlong,Wang Kai,Yang Xuan
[8]共同富裕背景下财政助力浙江省公共教育服务均等化建设的路径与提升策略研究,进行,浙江省教育科学规划2023年度一般规划课题,DingSong,Wang Zhengxin,仲媛,Pei Lingling,wushu,Wang RongZe
[9]数字经济驱动城市高质量发展的动力机制、溢出效应及实现路径研究,完成,浙江省哲学社会科学规划重点课题,DingSong,Wang Zhengxin,liyao,wushu,李若瑾,陶醉
[10]高质量发展背景下浙江省战略性新兴产业可持续发展评价与预警研究,完成,2021年度浙江省软科学研究计划一般项目,DingSong,Shao Wei,liyao,李若瑾,陶醉
[1]DingSong,神兴傲,蔡智建. Data-driven multi-step solar photovoltaic predictions with limited and uncertain information: Insights from a collaboratively-optimized nonlinear grey Bernoulli model,Expert Systems with Applications,258, 125170.:2024-12-15
[2]DingSong,叶俊涛,蔡智建. 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,208,123720:2024-11-01
[3]DingSong,蔡智建,吴彦祖,张华汉,神兴傲. FNNGM: A neural-driven fractional-derivative multivariate fusion model for interpretable real-time CPI forecasts,Knowledge-Based Systems,304, 112591:2024-11-25
[4]DingSong,魏思月,张华汉,胡佳琦. Promotion or inhibition? Unveiling the heterogeneous effects and mechanism of the digital economy on carbon emission efficiency,Energy Economics,149, 108803.:2025-09-01
[5]Xu Zhang,Yaoguo Dang,DingSong,Haowei Wang,Feipeng Ding. Multi-output discrete grey model tailored for electricity consumption forecast,Applied Mathematical Modelling,139,115822:2025-03-01
[6]周伟杰,Jiaxin Chang,Huiming Jiang,DingSong,Rongrong Jiang,Xupeng Guo. A novel grey seasonal model with time power for energy prediction,Expert Systems with Applications,259,125356:2025-01-01
[7]张骁雄,DingSong,彭锐,伍国华,刘忠. 基于强化学习的多阶段资源分配对策模型,同济大学学报(自然科学版),2025年06期:985-992,8:2025-06-15
[8]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
[9]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
[10]DingSong,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
Patents
[1]张骁雄 , DingSong,葛冰峰,周晓磊,范强,严浩,何浩然,丁鲲,一种考虑时间约束的多目标攻防资源分配方法及系统,2024-01-05
[2]张骁雄 , DingSong,丁鲲,李明浩,田昊,杨琴琴,张明星,基于强化学习的多阶段资源攻防分配方法及系统,2022-09-06