个人资料：
姓名：赵博超
职称：讲师/硕导
学科专业：电气工程
通讯地址： 菠菜广告联盟菠菜广告联盟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 菠菜广告联盟菠菜广告联盟，电气工程系，硕士生导师
(2) 2020.09至今 菠菜广告联盟菠菜广告联盟，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) 非侵入式负荷监测与电量分解
(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诊断与管理
(4) 多市场环境下的电力交易机制与负控优化
(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
(3) 2022.09-2023.12国网江苏营销服务中心科技项目“国网江苏营销服务中心现货市场下需求侧资源响应调节能力量化评估研究服务”, 项目负责人
(4) 2022.11-2023.11 国网上海市电力公司科技项目“面向虚拟电厂资源聚合体的云-边协同内部调控策略研究”，项目负责人
(5) 2023.04-2024.06 国网上海市电力公司科技项目“考虑动态聚合的虚拟电厂灵活资源协同调控策略研究”，项目负责人
(6) 2023.04-2023.12 国网区块链科技（北京）有限公司科技项目“面向园区的负荷精细化管理方法研究”，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 Q1)
(2) Luan W, Tian L, Zhao B*. Leveraging Hybrid Probabilistic Multi-Objective Evolutionary Algorithm for Dynamic Tariff Design[J]. Applied Energy, 2023, 342: 121123. (SCI Q1)
(3) 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 Q3)
(4) 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 Q3)
(5) Zhao B, Li X, Luan W*, et al. Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences[J]. Sensors, 2023, 23(8): 3939. (SCI Q3)
(6) 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 Q3)
(7) Chen S, Zhao B, Zhong M, et al. Nonintrusive Load Monitoring Based on Self-Supervised Learning[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2507113, doi: 10.1109/TIM.2023.3246504. (SCI Q2)
(8) 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 Q1)
(9) 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 Q3)
(10) Luan W, Ma C, Liu B, Zhao B, et al. Unsupervised identification and status assessment for electric bicycle charging load[J]. Electric Power Systems Research, 2022. (SCI Q3)
(11) Luan W, Zhang R, Liu B, Zhao B, et al. Leveraging sequence-to-sequence learning for online non-intrusive load monitoring in edge device. International Journal of Electrical Power & Energy Systems. 2023, 148: 108910. (SCI Q2)
(12) 赵博超，马嘉骏，崔磊等. 基于改进VMD-XGBoost-BILSTM组合模型的光伏发电异常检测方法, 2023, 见刊中. (中文核心)
(13) 栾文鹏, 马纯伟, 赵博超*等. 非侵入式电动自行车充电负荷在线识别[J].电力系统及其自动化学报, 2022, 34(10):1-7+14. (中文核心)
(14) 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)
(15) 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.
(16) Li X, Zhao B, Luan W, and Liu B. An unsupervised load disaggregation approach based on graph signal processing featuring power sequences[C]//Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '22). ACM, 2022: 378-382. (EI)
(17) Luan W, Xu B, and Zhao B. Market-based Coordinated Operation between Aggregators and Microgrids using Multi-agent Reinforcement Learning[C]//2022 China International Conference on Electricity Distribution (CICED). IEEE, 2022: 114-118. (EI)
(18) 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)
(19) 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)
(20) 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)
(21) 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)
(22) 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)
(23) 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: 859-863. (EI)
(24) 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: 208-212 . (EI)
(25) Lv R, Guo M, Wang X, Wang S, Lan L, Fei F and Zhao B. Blockchain-based Demand Response for Aggregated Residential Users in a Virtual Power Plant[C]//2023 8th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2023. (EI)
(26) Wang X, Guo M, Wang S, Lv R, Wang S, Lan L and Zhao B. Demand Response Planning via Home Energy Management System for Residential Aggregators in a Virtual Power Plant[C]//2023 8th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2023. (EI)
(27) 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) 基于模型自学习的非侵入式电动自行车监测方法及系统，发明专利，CN113928158B
(2) 电力负荷功率模式多时间尺度自适应检测方法，发明专利，CN115333102B
(3) 基于功率主题发现的无监督非侵入式负荷识别方法及系统，发明专利，CN113985121A
(4) 基于无监督预训练神经网络的非侵入式负荷分解方法，发明专利，CN114037178A
(5) 基于分段符号表示的多能源荷数据在线压缩与重构方法，发明专利，CN114069853A
(6) 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，CN114123185A
(7) 一种基于图信号处理的非侵入式负荷监测方法，发明专利，CN114757284A
(8) 非侵入式电动自行车充电负荷在线快速检测方法，发明专利，CN114759558A
(9) 基于GSP的电动自行车电池异常检测方法，发明专利，CN114779086A
(10) 区域级多用户负荷用电场景联合生成方法，发明专利，CN115017205A
(11) 基于深度可分离卷积的轻量化广义负荷分解方法，发明专利，CN114925115A
(12) 基于双层主从博弈模型的最优动态电价需求响应方法，发明专利，CN115310717A
(13) 基于深度学习的非侵入式工业负荷分解方法，发明专利，CN115482123A
(14) 基于自监督学习的非侵入式负荷分解方法，发明专利，CN115423646A
(15) 基于本地电力市场的需求侧资源协同优化调度方法，发明专利，CN115392766A
(16) 基于区块链的虚拟电厂聚合住宅用户的需求响应，发明专利
(17) 一种需求响应虚拟电厂分层交互框架及负荷规划方法，发明专利
其他（社会兼职等）：
(1) IEEE会员，中国电机工程学会会员
(2) ACPEE 2022 专题副主席；ACPEE 2023 专题主席；ACFPE 2023 专题主席
(3) IEEE TSG，TII，TPWRS，IJEPES, 计算机工程等期刊审稿人
