姓名:朱大风

学位: 博士研究生

邮箱:dafeng.zhu@sjtu.edu.cn

指导教师:杨博

年级:2018

研究小组
网络优化组
研究课题
低碳综合能源系统智能优化管理、多能源调度、运行、交易与随机优化研究
教育经历

2022.10-2023.10 南洋理工大学 电气工程 联培博士

2018.09-2023.09 上海交通大学 控制科学与工程 博士生

工作经历
2017.06-2018.06 上海斐讯数据通信技术有限公司 硬件工程师
获奖情况

2022年 上海交通大学三好学生

2021年 国家留学基金委资助留学

2020年 国家奖学金

2020年 第四届“长风杯”全国大学生大数据分析与挖掘竞赛全国二等奖

2014年 中国矿业大学(北京)优秀毕业生、优秀毕业论文

2013年 中国矿业大学(北京)校级优秀学生特等奖学金


论文

期刊论文

Dafeng Zhu, Bo Yang, Yu Wu, Haoran Deng, Zhaoyang Dong, Kai Ma and Xinping Guan, “Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters,” IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2023.3326928.

Dafeng Zhu, Bo Yang, Chengbin Ma, Zhaojian Wang, Shanying Zhu, Kai Ma, and Xinping Guan, Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints, Applied Energy, vol. 317: 119107, July 2022.

Dafeng Zhu, Bo Yang, Yuxiang Liu, Zhaojian Wang, Kai Ma, Xinping Guan, Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park, Applied Energy, vol. 311: 118636, Apr. 2022. 

Dafeng Zhu, Bo Yang, Qi Liu, Kai Ma, Shanying Zhu, Chengbin Ma, Xinping Guan, Energy trading in microgrids for synergies among electricity, hydrogen and heat networks, Applied Energy, vol. 272: 115225, Aug. 2020. 

Dafeng Zhu, Bo Yang, Lei Li, Zhaoyang Dong, Kai Ma, Xinping Guan, “Industrial Production Decision Making and Energy Management with Optimization-Guided Learning,” IEEE Transactions on Power Systems, 2023. (under review)

Dafeng Zhu, Haicen Mao, Wei Yin, Liang Wang, “Design of high-precision temperature control system for inertial platform,” Mechanical Design and Research, vol. 34, no. 4, pp. 113-115, 2018. (In Chinese).

Dafeng Zhu, Haicen Mao, Qiancheng Zhang, Liang Wang, “An Algorithm for Extracting the Earth's Ultraviolet Center Based on Point Hough,” Optics and Optoelectronics Technology, vol. 15, no. 1, pp. 20-23, 2017. (In Chinese).

Yu Wu, Bo Yang, Dafeng Zhu, Qi Liu, Cheng Li, Cailian Chen and Xinping Guan, " To Transmit or Predict: an Efficient Industrial Data Transmission Scheme with Deep Learning and Cloud-Edge Collaboration," IEEE Transactions on Industrial informatics, doi: 10.1109/TII.2023.3245673. 

Qi Liu, Bo Yang, Zhaojian Wang, Dafeng Zhu, Xinyi Wang, Kai Ma and Xinping Guan, "Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations," IEEE Transactions on Network Science and Engineering, vol. 9, no. 3, pp. 1680-1696, 1 May-June 2022. 

Haoran Deng, Bo Yang, Mo-Yuen Chow, Dafeng Zhu, and et. al, “A Decision-dependent Hydrogen Supply Infrastructure Planning Approach Considering Causality Between Vehicles and Stations,” IEEE Transactions on Sustainable Energy, second review, 2023.


会议论文

Dafeng Zhu, Bo Yang, Zhaojian Wang, Chengbin Ma, Kai Ma, and Shanying Zhu, Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park, 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021, pp. 885-890. 

Dafeng Zhu, Bo Yang, Qi Liu, Kai Ma, Shanying Zhu, Xinping Guan, Joint Energy Trading and Scheduling for Multi-Energy Microgrids with Storage, 2020 39th Chinese Control Conference (CCC), 2020, pp. 1617-1622. 

Qi Liu, Bo Yang, Zhaojian Wang, Xinyi Wang, Dafeng Zhu and Xinping Guan, "A PV Fault Diagnosis Framework Based on Asynchronous Federated Learning," 2022 13th Asian Control Conference (ASCC), 2022, pp. 494-499. 

Yu Wu, Bo Yang, Cheng Li, Qi Liu, Yuxiang Liu and Dafeng Zhu, "A Deep Learning Based Efficient Data Transmission for Industrial Cloud-Edge Collaboration," 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), 2022, pp. 1202-1207. 

Shunjie He, Bo Yang, Dafeng Zhu and Cheng Li, "Surface Defect Detection Based on Deep Learning and Collaborative Cloud-edge Computation," 2021 7th International Conference on Computer and Communications (ICCC), 2021, pp. 1469-1474. 

Yu Wu, Bo Yang, Dafeng Zhu, Aisen Zhang, Cailian Chen, "LI-DPS: A Long Sequence Dual Prediction Scheme Based on Informer for High-Frequency Data Transmission," IEEE ICC, Denver, CO, USA, under reivew.