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师资队伍

赵博超

Date:2020年09月24日

个人资料:

姓名:赵博超

职称:讲师/硕士生导师

学科专业:电气工程

通讯地址: 天津大学电气自动化与信息工程学院26教学楼D区432室

电子信箱: bochaozhao@tju.edu.cn | zhaobochao@hotmail.com

主要经历:

(1)    2022.06至今       天津大学电气自动化与信息工程学院,电气工程系,硕士生导师

(2)    2020.09至今       天津大学电气自动化与信息工程学院,电气工程系,讲师

(3)    2014.11-2020.07        英国University of Strathclyde,电子与电气工程博士

(4)    2012.10-2014.07       英国University of Strathclyde,电子与电气工程学士

(5)    2010.10-2012.07       华北电力大学(北京),电气工程及其自动化学士

主要研究方向:

(1)    非侵入式负荷监测

(2)    基于图信号处理技术的能源数据分析应用

(3)    电动车充、换电场景下的电池状态监测与故障预警

(4)    不同市场环境下的电力交易机制

(5)    基于区块链的虚拟电厂人工智能交易技术

主要科研项目:

(1)    2021.12-2025.08 国家重点研发计划子课题“基于主链的资源聚合层分布式共识机制与人工智能交易技术研究”,子课题负责人

(2)    2022.06-2023.05 中国华能集团有限公司科技项目“零碳生态综合屋顶的精细化太阳能发电预测、质量评估与异常感知技术研究”,项目负责人

代表性论著、学术著作:

学术论文:

(1)    Zhao B*, Ye M, Stankovic L, et al. Non-intrusive load disaggregation solutions for very low-rate smart meter data[J]. Applied Energy, 2020, 268: 114949. (SCI)

(2)    Zhao B*, Stankovic L, Stankovic V. On a training-less solution for non-intrusive appliance load monitoring using graph signal processing[J]. IEEE Access, 2016, 4: 1784-1799. (SCI)

(3)    Zhao B*, He K, Stankovic L, et al. Improving event-based non-intrusive load monitoring using graph signal processing[J]. IEEE Access, 2018, 6: 53944-53959. (SCI)

(4)    Luan W, Yang F, Zhao B*, et al. Industrial load disaggregation based on Hidden Markov Models[J]. Electric Power Systems Research, 2022, 210: 108086. (SCI)

(5)    He K*, Jakovetic D, Zhao B, et al. A generic optimisation-based approach for improving non-intrusive load monitoring[J]. IEEE Transactions on Smart Grid, 2019, 10(6): 6472-6480. (SCI)

(6)    Luan W, Lin J, Liu B*, Zhao B, et al. Arc fault detection and identification via non-intrusive current disaggregation[J]. Electric Power Systems Research, 2022, 210: 108113. (SCI)

(7)    Luan W, Ma C, Zhao B, et al. Unsupervised identification and status assessment for electric bicycle charging load[J]. Electric Power Systems Research, 2022. (SCI)

(8)    Zhao B, Stankovic L, Stankovic V*. Blind non-intrusive appliance load monitoring using graph-based signal processing[C]//2015 IEEE global conference on signal and information processing (GlobalSIP). IEEE, 2015: 68-72. (EI)

(9)    Zhao B*, Stankovic L, Stankovic V. Electricity usage profile disaggregation of hourly smart meter data[C]//4th International Workshop on Non-Intrusive Load Monitoring. 2018.

(10) Yang F*, Liu B, Luan W, Zhao B, et al. FHMM Based Industrial Load Disaggregation[C]//2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2021: 330-334. (EI)

(11) Ma C*, Zhao B, Luan W, et al. An Unsupervised Non-intrusive Electric Bicycle Charging Detection Method[C]//2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2021: 335-339. (EI)

(12) Chen S*, Zhao B, Luan W, et al. Load Disaggregation Based on Sequence-to-point Network with Unsupervised Pre-training[C]//2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021: 3224-3229. (EI)

(13) Wang Y, Ma C*, Zhao B, et al. Non-intrusive Electric Vehicle Charging Load Disaggregation based on Independent Component Analysis with Reference[C]//2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021: 490-495. (EI)

(14) Tian L, Liu J*, Zhao B, et al. An Investigation on Electricity Consuming Features for User Classification in Demand-Side Management Schemes[C]//2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021: 554-559. (EI)

(15) Li X, Zhao B*, Luan W, et al. A Training-free Non-intrusive Load Monitoring Approach for High-frequency Measurements based on Graph Signal Processing[C]//2022 7th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2022.(Accepted)(EI)

(16) Wang Y, Zhao B*, Luan W, et al. Abnormal Battery Identification via Graph Signal Processing Method[C]//2022 7th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2022. (Accepted)(EI)

(17) Attar H*, Alhihi M, Zhao B, et al. Network coding hard and soft decision behavior over the physical payer using PUMTC[C]//2018 International Conference on Advances in Computing and Communication Engineering (ICACCE). IEEE, 2018: 471-474.

专利:

(1)    基于ICA-R的非侵入式电动汽车充电负荷识别方法,发明专利,申请号:2021114130034

(2)    一种基于图信号处理的非侵入式负荷监测方法,发明专利,申请号:2022104057003

其他(社会兼职等):

(1)    IEEE Member

(2)    中国电机工程学会会员

(3)    ACPEE 2022 Poster Session Chair

(4)    ACPEE 2023 Local Committee Member

(5)    IEEE Transactions on Smart Grid期刊审稿人

(6)    International Journal of Electrical Power and Energy Systems期刊审稿人