徐冲冲
团队名称:智能控制与优化决策
团队介绍:致力于不确定优化、可解释机器学习和多目标优化与决策等方法的基础理论研究,同时从事流程工业智能优化制造、综合能源系统、智能交通、智慧医疗等领域的应用研究。
团队成员介绍:
19级博士生(已博士毕业),主要从事时间序列分析、分布式优化、约束优化算法等方面的研究,目前已经发表的学术论文有:
[1] C Xu, G Chen, X Zhou. Temporal pattern attention-based sequence to sequence model for multistep individual load forecasting[C]. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, accepted.
[2] Xu C, Liao Z, Li C, Zhou X, et al. Review on interpretable machine learning in smart grid[J]. Energies, 2022, 15(12): 4427.
[3] Xu C, Li C, Zhou X. Interpretable LSTM based on mixture attention mechanism for multi-step residential load forecasting[J]. Electronics, 2022, 11(14): 2189.