[1]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
[2]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,DingSongWang Zhengxin,Pan Maomao,liyao,神兴傲,蔡智建,钱芳媛
[3]“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
[4]“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,DingSongwushu,liyao,王育红,王俊杰,蔡智建,神兴傲,张明菲,魏思月
[5]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,DingSongWang Zhengxin,wushu,Pei Lingling,liyao,张华汉,神兴傲,蔡智建,魏思月
[6]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,DingSongTong Xiayu,wushu,Wang XiaoYu,liyao,Miao Zhenlong,Wang Kai,Yang Xuan
[7]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,DingSongWang Zhengxin,仲媛,Pei Lingling,wushu,Wang RongZe
[8]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,DingSongWang Zhengxin,liyao,wushu,李若瑾,陶醉
[9]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,DingSongShao Wei,liyao,李若瑾,陶醉
[10]自适应结构优化灰色预测模型及其在新能源汽车产业演进趋势预测中的应用,完成,2019年度国家自然科学基金青年科学基金项目,DingSong
[1]DingSong,王怡,神兴傲. Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial-Temporal Information Fusion,COMPUTATIONAL ECONOMICS,卷: 66期: 6页: 5207-5255:2025-12-01
[2]DingSong,蔡智建,张华汉. A Recursive Discovery of Fractional Dynamics and Its Informed Neural Network Framework With Applications to Heterogeneous Transportation Carbon Emission Forecast,IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT,卷: 73页: 1855-1871:2026-01-01
[3]Li, Xuemei,Li, Na,DingSong. Evaluation and forecast of the regional marine innovation ecosystem's competitiveness: A systematic multivariate grey interval model with spatial proximity effects,JOURNAL OF GEOGRAPHICAL SCIENCES,卷: 36期: 2页: 363-398:2026-02-01
[4]DingSong,神兴傲,党耀国,郭旭鹏. 考虑空间邻近效应的经济时间序列预测建模与应用研究,中国管理科学,2026年04期:,:2026-03-03
[5]Guo, Xupeng,Dang, Yaoguo,神兴傲,蔡智建,DingSong,黄珊. Spatiotemporal information fusion for urban-agglomeration carbon-emission forecasting: a grey multivariate model with composite city proximity,GREY SYSTEMS-THEORY AND APPLICATION,卷: 16期: 2页: 272-296:2026-03-17
[6]Li, Na,Li, Xuemei,DingSong. Spatio-temporal grey Bernoulli model for green development of marine economy forecasting,ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,卷: 170:2026-04-15
[7]DingSong,蔡智建,张华汉. The impact of industrial relocation on urban pollution prevention and control: Insights from heterogeneous policy effects based on machine learning methods,CITIES,卷: 173:2026-06-01
[8]DingSong,郑慧芸,Wang RongZe. 数智化与基本公共教育服务均等化:效应与机制,教育与经济,2025年06期:,:2025-12-01
[9]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
[10]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
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