l 国家自然科学基金（青年）项目，“基于深度强化学习技术的可交易能源系统智能决策问题研究”，2022.1 - 2024.12，24万元（主持）

l 江苏省自然科学基金（青年）项目，“基于新型人工智能与物联网技术的本地可交易能源系统研究”，2021.7 - 2024.7，20万元（主持）

l 南京留学人员科技创新项目，“基于深度强化学习的电力需求侧管理新型技术研究”，2021.7 - 2022.7，3万元（主持）

l 澳门大学智慧城市物联网国家重点实验室开放课题项目，“人工智能物联网电力能源共享社区研究”， 2022.3 – 2023.12，10万澳元（主持）

l 江苏省智能电网技术与装备重点实验室（一般）项目，“基于人工智能的能源物联网运行调控研究”，2022.1 – 2023.12，8万元（主持）

l 国家电网公司科技项目，“大规模可调节负荷资源评估、规划运行、优化调节关键技术研究及示范应用”，2021.1 - 2022.12，202万元（主持）

l 国家电网公司科技项目，“基于源网荷储互动的清洁能源市场化水平消纳体系研究”，2020.1 - 2021.12，84万元（主持）

l 国家电网公司科技项目，“现货市场环境下的电网规划方法与仿真验证评价体系研究理论研究”，2020.1 - 2021.12，38万元（主持）

l 国家重点研究计划项目，“综合能源高效协同运行关键技术及应用示范”，2020.12 - 2023.11，250万元（参与）

l 国家自然科学基金（面上）项目，“连续时间优化理论在异构负荷聚合建模与优化调度中的应用”， 2022.1-2025.12， 58万元（参与）

l 国家自然科学基金（面上）项目，“跨境综合能源系统分布式协同运行及联合仿真技术研究”， 2022.1-2025.12， 58万元（参与）

l 中英繁荣基金项目CELCEP，“Efficiency Analysis and Policy Recommendation of Jiangsu Power Market Design and Operation”，2020.6 – 2021.11，25万英镑（参与）

l 美国能源部（DOE）项目，"A Probability-based Model for Cost-effective Integration of Renewables into the Electricity Grid", 2017-2019，84万美金（参与）

l 美国能源部（DOE）项目，"Enabling Secure and Resilient XFC: A Software/Hardware-Security Co-Design Approach", 2019-2020，220万美金（参与）

l 美国自然科学基金（NSF）项目，"I-Corps: Distributed Energy Management Systems for Grid Integration of Distributed Energy Storage Devices", 2015-2016，60万美金，（参与）

l 密歇根大学-上海交通大学联合（UM-SJTU）项目，"Adaption and Coordination Technology of Large-Scale EV Charging and Variable Renewable Energy Based on Big Data and Electricity Network Reliability Analysis", UM-SJTU, 2016-2019，25万美金（参与）

l 芬兰欧盟Smart Energy and Electricity Market项目，2013.1 – 2015.12，120万欧元（参与）

专著章节

[1].      T. Chen, H. Pourbabak, and W. Su, “Electricity Market Reform”, EnergyInternet: An Open Energy Platform to Transform Legacy Power Systems into OpenInnovation and Global Economic Engine, Elsevier,pp. 97-121, 2019.

[2].      H. Pourbabak, T. Chen,and W.Su, “Centralized, decentralized, and distributed control for EnergyInternet”, Energy Internet: An Open Energy Platform to Transform Legacy PowerSystems into Open Innovation and Global Economic Engine, Elsevier, pp.3-19, 2019.

[3].     H. Pourbabak, T. Chen, and W.Su, “Emerging dataencryption methods applicable to Energy”, Energy Internet: An Open EnergyPlatform to Transform Legacy Power Systems into Open Innovation and GlobalEconomic Engine, Elsevier, pp. 181-199, 2019.

[4].      H. Pourbabak, T. Chen,and B. Zhang, and W. Su, “Control and Energy Management Systems inMicrogrids”, Clean Energy Microgrids, The Institution of Engineering andTechnology (IET), pp. 109-132, 2017.

期刊论文：

[1].       T. Chen, C. Gao, et al. “IntelligentEnergy Management of Low Carbon Hybrid Energy System with SOFC and AccurateBattery Model”, IET Smart Grid, 2022.

[2].       T. Chen, C. Gao, and Y. Song, “Optimalcontrol strategy for solid oxide fuel cell‐based hybrid energy system using deepreinforcement learning”, IET Renewable Power Generation, vol.16, no.5,pp.912-921, 2022.

[3].       T. Chen, M. Song, H. Hui, and H. Long,“Battery electrode mass loading prognostics and data-driven analysis forlithium-ion battery-based energy storage system”, Frontiers in Energy Research, 543, 2021.

[4].       T. Chen, C. Gao, H. Hui and H. Long, “Ageneralized additive model-based data-driven solution for lithium-ion batterycapacity prediction and local effects analysis”, Transactions of theInstitute of Measurement and Control, November 2021.

[5].       T. Chen, Q. Cui, C. Gao, and et. al.,“Optimal Demand Response Strategy of Commercial Building-based Virtual PowerPlant using Reinforcement Learning”, IET Generation, Transmission &Distribution, v.15, no.16, pp.2309-2318, August 2021.

[6].       T. Chen, M. Pipattanasomporn, I. Rahman,Z. Jing, and S. Rahman, “MATPLAN: A Probability-based Planning Tool forCost-effective Integration of Renewable Energy into the Electricity Grid”, Renewable Energy, vol.156, pp.1089-1099, August 2020.

[7].       T. Chen, and W. Su, "IndirectCustomer-to-Customer Energy Trading with Reinforcement Learning", IEEE Trans. on Smart Grid, vol.10, no.4, pp.4338-4348, 2019.

[8].       T. Chen, B. Zhang, H. Pourbabak, A. K.Fard, and W. Su, “Optimal Routing and Charging of an Electric Vehicle Fleet forHigh-Efficient Dynamic Transit Systems”, IEEETrans. on Smart Grid, vol.9, no.4, pp.3563-3572, July 2018.

[9].       T. Chen, and W. Su, "Local EnergyTrading Behavior Modeling with Deep Reinforcement Learning", IEEE Access, vol.6, no.1, pp.62806-62814,Dec. 2018.

[10].     T. Chen, Q. Alsafasfeh, H. Pourbabak,and W. Su, "The Next-generation Retail Electricity Market with Customersand Prosumers - A Bibliographical Survey", Energies, vol.11, no.1, 2017.  

[11].      T. Chen, H. Pourbabak, Z. Liang, and W. Su, "An Integrated eVoucherMechanism for Flexible Loads in Real-Time Retail Electricity Market", IEEE Access, vol. 5, pp. 2101 – 2110,2017.

[12].      M. Niu, C. Gao, and T. Chen.“Energy Pricing Mechanism Considering Energy Converter Devices as Components ofPan-Energy Transmission System”, IEEETransactions on Smart Grid, vol.13, no.2, pp.1061-1074, 2022.

[13].      Y. Xu, K. Mert, L. Mili, J. Valinejad, T. Chen, and X. Chen, "An Iterative Response-Surface-BasedApproach for Chance-Constrained AC Optimal Power Flow Considering DependentUncertainty", IEEE Transactions onSmart Grid, vol.12, no.3, pp. 2696 – 2707, 2021.

[14].      Y.Yao, C. Gao, K. Lai, T. Chen, and J.Yang, “An incentive-compatible distributed integrated energy market mechanismdesign with adaptive robust approach”, Applied Energy, vol.282, 2021.

[15].     X. Zhang, M. Pipattanasomporn, T. Chen, and S. Rahman, "AnIoT-based Thermal Model Learning Framework for Smart Buildings", IEEE Internet of Things Journal, 2019, vol.7, no.1, pp.518 – 527, 2019.

[16].     H. Hui, Y.Ding, T. Chen, S. Rahman, and Y. Song, “Dynamic and Stability Analysisof the Power System With the Control Loop of Inverter Air Conditioners”, IEEETransactions on Industrial Electronics, vol.68, no.3, pp. 2725 – 2736, 2021.

[17].     M. A.Mohamed, T. Chen, W. Su, and T. Jin, Proactive Resilience of PowerSystems Against Natural Disasters: A Literature Review. IEEE Access, vol.7,pp.163778-163795, 2019.

[18].     H.Pourbabak, J. Luo, T. Chen,and W. Su, "A NovelConsensus-based Distributed Algorithm for Economic Dispatch Based on LocalEstimation of Power Mismatch", IEEE Trans. on Smart Grid,vol.9, no.6, pp.5930-5942, November 2018.

[19].     H.Pourbabak, A. Ajao, T. Chen,and W. Su, "FullyDistributed AC Power Flow (D-ACPF) Algorithm for Distribution Systems”, IET Smart Grid, vol. 2, no. 2, pp. 155-162, 2018.

[20].     F. Chang, T.Chen, W. Su, and Q.H. Alsafasfeh, "Charging Control of anElectric Storage Battery Based on Reinforcement Learning and Long Short-termMemory Networks", Computers and Electrical Engineering,vol.85, 106670, July 2020.

[21].     S. Xu, X.Chen, J. Xie, S. Rahman, J. Wang, H. Hui and T. Chen, “Agent-based modeling and simulation for the electricitymarket with residential demand response” CSEEJournal of Power and Energy Systems, vol.7, no.2, pp.368 – 380, May 2020.

[22].     K. Lai,T. Chen, and B. Natarajan, “Optimalscheduling of electric vehicles car-sharing service with multi-temporal andmulti-task operation”, Energy, vol.204, 2020.

[23].     Li, Dongsen, Ciwei Gao, T.Chen, Xiaoxuan Guo, and Shuai Han. "Planning strategies ofpower-to-gas based on cooperative game and symbiosis cooperation." Applied Energy 288 (2021): 116639.

[24].     Y. Yao, C. Gao, T. Chen,J. Yang, and S. Chen, “Distributed electric energy trading model and strategyanalysis based on prospect theory”, International Journal of Electrical Power& Energy Systems, vol. 131, 2021.

[25].     Y. Wang, K. Tang, K. Lai, T. Chen and X. Wu, “Optimalplanning of charging stations for an electric vehicle fleet in car‐sharingbusiness”, International Transactions on Electrical Energy Systems,e13098, 2021.

[26].     Liu, K., Peng, Q., Li, K., & T. Chen, “Data-Based Interpretable Modeling for PropertyForecasting and Sensitivity Analysis of Li-ion Battery Electrode”, Automotive Innovation, 1-13, 2022.

[27].     Li, T., Gao, C., T. Chen,Jiang, Y., & Feng, Y. “Medium and long-term electricity market tradingstrategy considering renewable portfolio standard in the transitional period ofelectricity market reform in Jiangsu, China”, Energy Economics, 105860, 2022.

[28].     H Hui, Y Ding, K Luan, T Chen, Y Song, S Rahman, “Coupon-BasedDemand Response for Consumers Facing Flat-Rate Retail Pricing”, CSEE Journal of Power and Energy Systems,2022.

[29].     Yan, X., Gao, C., Song, M., T.Chen, Ding, J., Guo, M., ... & Abbes, D. An IGDT-based Day-aheadCo-optimization of Energy and Reserve in a VPP Considering MultipleUncertainties. IEEE Transactions onIndustry Applications, 2022.

[30].     M Song, Y Cai, C Gao, T.Chen, Y Yao, H Ming, Transactive energy in power distribution systems:Paving the path towards cyber-physical-social system, International Journal of Electrical Power & Energy Systems 142,108289, 2022.

[31].     M Song, J Meng, G Lin, Y Cai, C Gao, T. Chen, H Xu, Applications of shared economy in smart grids:Shared energy storage and transactive energy, The Electricity Journal, 35 (5), 107128, 2022.

[32].     宋艺航,王刚,蔡浩,高赐威,陈涛.售电公司购售电决策研究综述[J].电力需求侧管理,2020,22(06):85-89.

[33].     黄国日,宋艺航,蔡浩,高赐威,陈涛.考虑可转移负荷的售电公司负荷组合优化[J].电力建设,2020,41(11):126-134.

[34].     黄豫,邵冲,郝洁,柴明哲,高赐威,陈涛.能源互联网环境下的多能需求响应技术[J].电力需求侧管理,2020,22(05):2-6+18.

[35].     胡秦然,丁昊晖,陈心宜,陈涛,丁一原,李扬.美国加州2020年轮流停电事故分析及其对中国电网的启示[J].电力系统自动化,2020,44(24):11-18.

[36].     葛毅,陈佳铭,朱永康,史静,李冰洁,胡秦然,陈涛.考虑广义需求侧资源的江苏“十四五”电源规划[J].电力需求侧管理,2021,23(2):04-09.

[37].     蔡浩,黄博,高赐威,陈涛.考虑用户用电效用的售电公司交易联合优化策略[J].电力需求侧管理,2021,23(06):31-36.

[38].     柴明哲,高赐威,陈涛,胡楠,管永丽.江苏省工业用户配置储能的经济性研究[J].电力需求侧管理,2021,23(03):47-51.

[39].     宋雨桐,陈涛,高赐威,宋梦,胡秦然.基于深度强化学习技术的光伏-固体氧化物燃料电池混合能源系统多场景控制[J].中国电机工程学报,2022,DOI:10.13334/j.0258-8013.

[40].     管馨,陈涛,高赐威.适应风电参与电力市场的需求侧储能负荷运行优化研究[J].综合智慧能源,2022,44(02):35-41.

[41].     高赐威,王崴,陈涛.基于可逆固体氧化物电池的电氢一体化能源站容量规划[J/OL].中国电机工程学报:1-15[2022-03-28].

[42].     严兴煜,高赐威,陈涛,丁建勇.数字孪生虚拟电厂系统框架设计及其实践展望[J/OL].中国电机工程学报:1-17[2022-03-28].

会议论文：

[1].     T. Chen, Q Hu, Y Wang, X Quan, F Zhang, X Yan, “Residential Energy ArbitrageConsidering Demand Response and Accurate Battery Model with Degradation Cost”, 2022International Conference on Power Energy Systems and Applications, Singapore,2022.

[2].     T. Chen, A. Mutanen, and P. Järventausta, “Customized Retail Pricing SchemeDesign with a Hybrid Data-driven Method”, In 2021 IEEE Sustainable Power andEnergy Conference, Nanjing, China, 2021.

[3].     T. Chen,W. Tian, J. Wu, Y. Lin, Y. Yao, and C. Gao, “P2P Energy Trading based onBlockchain and Customer Risk Preference”, 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference,Nanjing, China, 2020.

[4].      T. Chen, C. Huang, F. Hu, J. Zhao and W. Su, ”Self-learning Prosumer inCompetitive Local Energy Market”, IEEE Innovative Smart Grid Technologies Asia,Chengdu, China, 5. 2019. (Best PaperAward)

[5].      T. Chen, C. Yuan, G. Liu, and R. Dai, ”Graph based Platform for ElectricityMarket Study, Education and Training”, IEEE Power and Energy Society GeneralMeeting. Portland, OR, Aug. 2018.

[6].      T. Chen, W. Su, and Y. Chen, "An Innovative Localized RetailElectricity Market based on Energy Broker and Search Theory", 2017 NorthAmerican Power Symposium (NAPS), Morgantown, WV, USA, September 17-19, 2017.

[7].      T. Chen, K. Qian, A. Mutanen, B. Schullerzx, P. Jarventausta, and W. Su,"Classification of Electricity Customer Groups Towards IndividualizedPrice Scheme Design", 2017 North American Power Symposium (NAPS),Morgantown, WV, USA, September 17-19, 2017.

[8].      T. Chen, H. Pourbabak, Z. Liang, and W. Su, "Participation of ElectricVehicle Parking Lots into Retail Electricity Market with eVoucherMechanism", 2017 IEEE Transportation Electrification Conference and Expo,Asia-Pacific (ITEC Asia-Pacific), Harbin, China, August 2-5, 2017.

[9].      T. Chen, H. Pourbabak, and W. Su, “A Game Theoretic Approach to Analyze theDynamic Interactions of Multiple Residential Prosumers Considering Power FlowConstraints”, 2016 IEEE Power and Energy Society General Meeting, Boston, MA,U.S.A. July 17-21, 2016.

[10].     T. Chen, A. Mutanen, P. Järventaustaand K. Hannu, ”Change Detection of Electric Customer Behavior Based on AMRMeasurements,” IEEE PowerTech2015, Eindhoven, Netherland, Jul. 2015.

[11].    Y. Yao, J. Yang, S. Chen, C. Gao, and T. Chen, “Design of Distributed PowerTrading Mechanism Based on P2P Contract”, in 2020 12th IEEE PES Asia-Pacific Power and Energy EngineeringConference, Nanjing, China, 2020.

[12].    F. Chang, T. Chen, and W. Su, "F. Chang, T. Chen, and W.Su*, "Charging Control of an Electric Vehicle Battery Based onReinforcement Learning", the 10th International Renewable Energy Congress,Sousse, Tunisia, March 26-28, 2019. 

[13].    Z. Liang, T. Chen, and W. Su, "Robust Distributed EnergyResources Management for Microgrids in a Retail ElectricityMarket", 2017 North American Power Symposium (NAPS),Morgantown, WV, USA, September 17-19, 2017.

[14].    H.Pourbabak, S. Xu, T. Chen, Z. Liang,and W. Su,"Distributed Control Algorithm for Optimal Power Allocation of EVParking Lots", 2017 IEEE Power and Energy Society General Meeting,Chicago, IL, USA, July 16-20, 2017.

[15].     B. Zhang, W. Li, T. Chen, and W. Su,"A Simulation Platform for Energy-Efficient Dynamic Commuter Transit usingElectric Vehicles", 2016 IEEE Transportation ElectrificationConference and Expo Asia-Pacific, Busan, Korea, June 1-4, 2016. 

[16].    B.Zhang, T. Chen, and W. Su, "Optimal Routing andCharging of Uber-like Electric Vehicle Considering Dynamic Electricity Priceand Passenger Satisfaction", 2016 IEEE TransportationElectrification Conference and Expo Asia-Pacific, Busan, Korea, June1-4, 2016.

[17].    H.Pourbabak, T. Chen, and W. Su, "Consensus-basedDistributed Control for Economic Operation of  Distribution Gridwith Multiple Consumers and Prosumers", 2016IEEE Power and Energy Society General Meeting, Boston, MA, U.S.A. July17-21, 2016.

[18].    W. Guo,X. Zha, K. Qian, and T. Chen, “CanActive Learning Benefit the Smart Grid? A Perspective on Overcoming the DataScarcity”, 2019 IEEE 2nd InternationalConference on Electronics and Communication Engineering (ICECE), Xian, China,2019.

[19].    Feng,Yingchun, Yunting Yao, Xuesong Li, Yu Jiang, Ciwei Gao, and T. Chen. "Design of GreenCertificate Trading Mechanism Based on Double Auction." In 2020 IEEE4th Conference on Energy Internet and Energy System Integration (EI2), pp.3496-3501. IEEE.

[20].    Feng,Yingchun, Tianyu Li, Ciwei Gao, T. Chen,Xuesong Li, and Yu Jiang. "Optimal Trading Strategy of CoordinatingElectricity Purchase in Monthly Electricity Market and Day-ahead Market Basedon CVaR." In 2020 IEEE 4th Conference on Energy Internet and EnergySystem Integration (EI2), pp. 1507-1511. IEEE.

[21].    Yang,Jianlin, Gujing Lin, Ran Lv, Ciwei Gao, and T. Chen. "Research on Construction and Dispatching of VirtualPower Plant Based on Reserve Energy Storage of Communication BaseStation." In 2020 IEEE 4th Conference on Energy Internet and EnergySystem Integration (EI2), pp. 398-403. IEEE.

[22].    Tian, Wei,Jingying Wu, Zhaoli Leng, Yunfeng Cai, Kang Chen, Ciwei Gao, T. Chen, and Yang Cao. "A Surveyof Value-added Services for Electricity Transaction in China." In IEEE 4thConference on Energy Internet and Energy System Integration (EI2), pp.2667-2672, 2020.

[23].    Wang, Y.,Cui, Q., Tang, X., Li, D., & T. Chen, Waveform Vector Embedding forIncipient Fault Detection in Distribution Systems. In 2021 IEEE SustainablePower and Energy Conference (iSPEC), 2021.

[24].    Liu, K.,Li, K., & T. Chen, InterpretableSensitivity Analysis and Electrode Porosity Classification for Li-ion BatterySmart Manufacturing. In 2021 IEEE Sustainable Power and Energy Conference(iSPEC), 2021. (Best Paper)

[25].    K. Liu, J.Li, C. Zhu, T. Chen, K. Li, Q. Zhou,H. Xu, Electrothermally-Aware Multi-objective Modular Design: A Case Study onSeries-Parallel Plug-in Hybrid Electric Vehicles, IEEE CIEEC, Nanjing, 2022. (Best Paper)

业余爱好人文历史，豆瓣读书1000+

与学生为友，互切互磋，共学共进

招 co-worker，不招 labor

崇尚自由而无用的灵魂

寄望学生体验科学工程理论之趣味、宇宙人生之玄妙

能力有限，故盼诸君青出于蓝而胜于蓝

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春季 人工智能在电力系统领域应用  32学时（研究生课程，校本部）

秋季 人工智能在电力系统领域应用  32学时（研究生课程，苏州校区）

秋季/春季 发电厂电气部分（研讨） 32学时（本科生课程）

国际暑期学校 电力系统综合设计（研讨） 16学时（协助外教英文授课）

暑期短学期 文献检索与学术写作 32学时（本科生课程）

2020级/2021级本科生大类导师

2020级学优生导师

2020级本科生科研SRTP项目导师

2020级电气工程及自动化大类2班班主任