邵臻Associate professor
邵臻，副教授，博士生导师。管理科学与工程学会优秀博士学位论文获得者。长期从事能源大数据分析与决策、能源与环境复杂系统建模、人工智能及其在电力系统中的应用等方面的科研与教学工作。近三年来主持了国家自然科学基金面上项目2项、合肥工业大学学术新人提升计划项目等国家级省部级科研课题，以及国轩高科、国家电网、广东省建科院等企业委托课题。获安徽省科技进步二等奖1项、中国科技产业化促进会科技创新奖二等奖1项，获国家级教学成果二等奖1项、安徽省教学成果一等奖1项。在国内外高水平期刊上发表论文40余篇。近三年来以第一或通讯作者发表研究成果于Energy Economics、IEEE Transactions on Industrial Informatics、Energy Conver... More>
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
School/Department:公共管理系
Business Address:合肥工业大学屯溪路校区，科技楼811工作室
Degree:Doctoral degree
Status:Employed
Alma Mater:合肥工业大学
Discipline:Other specialties in Management Science and Engineering
Other specialties in Business Administration
Other specialties in Public Administration
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- A new multiregional carbon emissions forecasting model based on a multivariable information fusion mechanism and hybrid spatiotemporal graph convolution network[J]. Journal of Environmental Management,2024, 352: 119976.
- How connected is withholding capacity to electricity, fossil fuel and carbon markets Perspectives from a high renewable energy consumption economy[J]. Energy Policy, 2024, 185: 118937.
- The relationship between CSR and financial performance and the moderating effect of ownership structure: Evidence from Chinese heavily polluting listed enterprises[J]. Sustainable Production and Consumption, 2022, 30: 117-129.
- Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field[J]. Energy Conversion and Management, 2022, 269: 116138.
- A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis[J]. Applied Energy, 2022, 327: 120115.
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