Google Scholar Citations

Journal:

[J44]  Ethan Cantor, Yinyin Ge, Hongxing Ye, and Jie Li, "Advanced Capacity Accreditation of Future Energy System Resources with Deep Uncertainties", https://arxiv.org/abs/2604.00173 (submitted for publication)

[J43]  Md Redwan Sammir, Jim Kang, Tyler Casas, Sanjib Kumar Sarkar, Thanh Nguyen, Cheng Zhu, John Schmalzel, Ahmed Saidi, Michele Maxson, Wade Lein, and Jie Li, “A Multi-Frequency Electromagnetic Induction Sensor for Subsurface Soil Characterization,” Transportation Research Record (Under Review by the Transportation Research Editorial Board).

[J42]  Zhifeng Zuo, Hongxing Ye, Jie Li, and Yinyin Ge, “Federated Learning with Knowledge Distillation for Cross-regional Load Forecasting,” IEEE Transactions on Smart Grid (Accepted).

[J41]  Patick Wilk and Jie Li, “Deep Reinforcement Learning Based DER Aggregation Framework for Coordinated Wholesale and Retail P2P Trading,” IEEE Transactions on Smart Grid (Under Review).

[J40]    Sizhe He, Yadong Zhou, Yujie Yang, Ting Liu, Yuxun Zhou, Jie Li, Tong Wu, and Xiaohong Guan, “Cascading Failure in Cyber–Physical Systems: A Review on Failure Modeling and Vulnerability Analysis,” IEEE Transactions on Cybernetics, Vol. 54, No. 12, pp. 7936-7954, December 2024. DOI: 10.1109/TCYB.2024.3411868.

[J39]    Patrick Wilk, Ning Wang, and Jie Li, “Multi-Agent Reinforcement Learning for Smart Community Energy Management,” Energies, October 2024, Vol. 17, No. 20, 5211. https://doi.org/10.3390/en17205211.

[J38]    Jimiao Zhang and Jie Li, “Revolution in Renewables: Integration of Green Hydrogen for a Sustainable Future,” Energies, July 2024, Vol. 17, No. 16, 4148. https://doi.org/10.3390/en17164148.

[J37] Jimiao Zhang and Jie Li, “Hybrid Deloading Control Strategy in MMC-Based Wind Energy Conversion Systems for Enhanced Frequency Regulation,” Energies, March 2024, Vol. 17, No. 5, 1253. https://doi.org/10.3390/en17051253.

[J36]    Jimiao Zhang and Jie Li, “Data-Driven Transient Stability Evaluation of Electric Distribution Networks Dominated by EV Supercharging Stations,” IEEE Transactions on Smart Grid, Vol. 15, No. 2, pp. 1939-1950, March 2024. DOI: 10.1109/TSG.2023.3307946

[J35] Yang Qi, Jie Li, Chengli Wei, and Ben Wu, “Free-Space Optical Stealth Communication Based on Wideband Spontaneous Emission,” Optics Continuum, Vol. 1, Issue 11, pp. 2298-2307, November 2022. https://doi.org/10.1364/OPTCON.441727.

[J34]    Patrick Wilk, Ning Wang, and Jie Li, “A Multi-Agent Deep Reinforcement Learning Based Energy Management for Behind-the-Meter Resources,” The Electricity Journal, Vol. 35, No. 5, June 2022, 107129, ISSN 1040-6190. https://doi.org/10.1016/j.tej.2022.107129.

[J33]    Jimiao Zhang, Jie Li, Ning Wang, and Ben Wu, “An Enhanced Predictive Hierarchical Power Management Framework for Islanded Microgrids,” IET Generation, Transmission, and Distribution, Vol. 16, No. 3, pp. 503-516, October 2021. https://doi.org/10.1049/gtd2.12297.

[J32]    Serhat Duman, Jie Li, Lei Wu, and Nura Yorukeren, “Symbiotic Organisms Search Algorithm-Based Security-Constrained AC–DC OPF Regarding Uncertainty of Wind, PV and PEV Systems,” Soft Computing, Vol. 25, No. 14, pp. 9389-9426, July 2021.

[J31]    Yikui Liu, Lei Wu, and Jie Li, “A Two-stage Peer-to-Peer Energy Trading Model for Distribution Systems with the Participation of the Utility,” CSEE Journal of Power and Energy Systems, Vol. 7, No. 5, pp. 893-902, June 25, 2021. DOI: 10.17775/CSEEJPES.2020.06450.

[J30] Yikui Liu, Lei Wu, Yonghong Chen, and Jie Li, “Integrating High DER-Penetrated Distribution Systems into ISO Energy Market Clearing: A Feasible Region Projection Approach,” IEEE Transactions on Power Systems, Vol. 36, No. 3, pp. 2262-2272, May 2021. DOI: 10.1109/TPWRS.2020.3028859.

[J29] Yikui Liu, Lei Wu, Yonghong Chen, Jie Li, and Yafei Yang, “On Accurate and Compact Model of High DER-Penetrated Sub-Transmission/Primary Distribution Systems in ISO Energy Market,” IEEE Transactions on Sustainable Energy, Vol. 12, No. 2, pp. 810-820 April 2021. DOI: 10.1109/TSTE.2020.3020873.

[J28] Ning Wang, Jie Li, Shen-Shyang Ho, and Chenxi Qiu, “Distributed Machine Learning for Energy Trading in Electric Distribution System of the Future,” The Electricity Journal, Vol. 34, No. 1, January 2021, 106883, ISSN 1040-6190. https://doi.org/10.1016/j.tej.2020.106883

[J27]    Serhat. Duman, Jie Li, and Lei Wu, “AC Optimal Power Flow with Thermal-Wind-Solar-Tidal  Systems Using  the Symbiotic Organisms Search Algorithm,” IET Renewable Power Generation, Vol. 2, No. 2, pp. 278-296, January 2021. https://doi.org/10.1049/rpg2.12023.

[J26]    Yikui Liu, Lei Wu, and Jie Li, “A Fast LP-Based Approach for Robust Dynamic Economic Dispatch Problem: A Feasible Region Projection Method”, IEEE Transactions on Power Systems, Vol. 35, No. 5, pp. 4116-4119, September 2020. DOI: 10.1109/TPWRS.2020.3004058.

[J25]    Serhat Duman, Jie Li, Lei Wu, Ugur Guvenc, “Optimal Power Flow with Stochastic Wind Power and FACTS Devices: A Modified Hybrid PSOGSA with Chaotic Maps Approach,” Neural Computing and Applications, Vol. 32, pp. 8463-8492, June 2020.

[J24]    Yikui Liu, Lei Wu, Jie Li, Yonghong Chen, and Fengyu Wang, “Towards Accurate Modeling on Configuration Transitions and Dynamic Ramping of Combined-Cycle Units in UC Problems,” IEEE Transactions on Power Systems, Vol. 35, No. 3, pp. 2200-2211, May 2020. DOI: 10.1109/TPWRS.2019.2952985.

[J23] Serhat Duman, Sergio Rivera, Jie Li, and Lei Wu, “Optimal Power Flow of Power Systems with Controllable Wind-Photovoltaic Energy Systems via Differential Evolutionary Particle Swarm Optimization,” International Transactions on Electrical Energy Systems, Vol. 30, No. 4, April. 2020. https://doi.org/10.1002/2050-7038.12270.

[J22] Medhat Elsayed, Melike Erol-Kantarci, Burak Kantarci, Lei Wu, and Jie Li, “Low-latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach,” IEEE Transactions on Smart Grid. Vol. 11, No. 2, PP. 1091-1099, March 2020. DOI: 10.1109/TSG.2019.2931753.

[J21] Yikui Liu, Lei Wu, and Jie Li, “D-PMU Based Applications for Emerging Active Distribution Systems: A Review,” Electric Power System Research, Vol. 179, February 2020, 106063, ISSN 0378-7796. https://doi.org/10.1016/j.epsr.2019.106063.

[J20] Wenbo Qi, and Jie Li, “Towards Green Data Center Microgrids by Leveraging Data Center Loads in Providing Frequency Regulation,” Scientia Iranica, December 2019.

[J19] Yikui Liu, Lei Wu, and Jie Li, “Towards Accurate Modeling of Dynamic Startup/Shutdown and Ramping Processes of Thermal Units in Unit Commitment Problems,” Energy, Vol. 187, No. 15, pp. 1-11, Nov. 2019. https://doi.org/10.1016/j.energy.2019.115891.

[J18] Yikui Liu, Jie Li, and Lei Wu, “State Estimation of Three-Phase Four-Conductor Distribution Systems with Real-Time Data from Selective Smart Meters,” IEEE Transactions on Power Systems, Vol. 34, No.4, pp. 2632-2643, July. 2019. DOI: 10.1109/TPWRS.2019.2892726.

[J17] Yikui Liu, Lei Wu, and Jie Li, “Peer-to-Peer (P2P) Electricity Trading in Distribution Systems of the Future,” The Electricity Journal, Vol. 32, No.4, pp. 2-6, May 2019. https://doi.org/10.1016/j.tej.2019.03.002.

[J16] Yikui Liu, Jie Li, and Lei Wu, “Coordinated Optimal Network Reconfiguration and Voltage Regulator/DER Control for Unbalanced Distribution Systems,” IEEE Transactions on Smart Grid, Vol. 10, No.3, pp. 2912-2922, May 2019. DOI: 10.1109/TSG.2018.2815010.

[J15] Yikui Liu, Jie Li, and Lei Wu, “ACOPF for Three-Phase Four-Conductor Distribution Systems: Semidefinite Programming Based Relaxation with Variable Reduction and Feasible Solution Recovery,” IET Generation, Transmission & Distribution, Vol. 13, No.2, pp. 266-276, Jan. 2019. https://doi.org/10.1049/iet-gtd.2018.5033.

[J14] Wenbo Qi and Jie Li, “Planning of Distributed Internet Data Center Microgrids”, IEEE Transactions on Smart Grid, Vol. 10, No. 1, pp. 762-771, January 2019. DOI: 10.1109/TSG.2017.2751756.

[J13] Yikui Liu, Jie Li, and Lei Wu, “Distribution System Restructuring: Distribution LMP Via Unbalanced ACOPF,” IEEE Transactions on Smart Grid, Vol. 9, No. 5, pp. 4038-4048, September 2018. DOI: 10.1109/TSG.2016.2647692.

[J12] Jichun Liu and Jie Li, “Interactive Energy-Saving Dispatch Considering Both Generation and Demand Side Uncertainties,” IEEE Transactions on Smart Grid, Vol. 9, No. 4, pp. 2943-2953, July 2018. DOI: 10.1109/TSG.2016.2623947.

[J11] Yamin Wang, Lei Wu, and Jie Li, “A Fully-Distributed Asynchronous Approach for Multi-Area Coordinated Network-Constrained Unit Commitment,” Optimization and Engineering, Vol. 19, No. 2, pp. 419-452, June 2018.

[J10] Qingzhen Liu, Yuanbin Shen, Lei Wu, Jie Li, and Shaofang Wang, “A Hybrid FCW-EMD and KF-BA-SVM Based Model for Short-Term Load Forecasting,” CSEE Journal of Power and Energy Systems, Vol. 4, No. 2, pp. 226-237, June 2018. DOI: 10.17775/CSEEJPES.2016.00080.

[J09] Jie Li and Wenbo Qi, “Towards Optimal Operation of Internet Data Center Microgrid,” IEEE Transactions on Smart Grid, Vol. 9, No. 2, pp. 971-979, March 2018. DOI: 10.1109/TSG.2016.2572402.

[J08] Jie Li, Yikui Liu, and Lei Wu, “Optimal Operation for Community Based Multi-Party Microgrid in Grid-Connected and Islanded Modes,” IEEE Transactions on Smart Grid, Vol. 9, No. 2, pp. 756-765, March 2018. DOI: 10.1109/TSG.2016.2564645.

[J07] Yikui Liu, Jie Li, Lei Wu, and Tom Ortmeyer, “Chordal Relaxation Based ACOPF for Unbalanced Distribution Systems with DERs and Voltage Regulation Devices,” IEEE Transactions on Power Systems, Vol. 33, No. 1, pp. 970-984, January 2018. DOI: 10.1109/TPWRS.2017.2707564

[J06] Lei Wu, Jie Li, Melike Erol Kantarci, and Burak Kantarci, “An Integrated Reconfigurable Control and Self-Organizing Communication Framework for Community Resilience Microgrids,” The Electricity Journal, Vol. 30, No. 4, pp. 27-34, May 2017. https://doi.org/10.1016/j.tej.2017.03.011.

[J05] Lei Wu, Tom Ortmeyer, and Jie Li, “The Community Microgrid Distribution System of the Future,” The Electricity Journal, Vol. 29, No. 10, pp. 16-21, December 2016. https://doi.org/10.1016/j.tej.2016.11.008.

[J04] Aditi Upadhyay, Bingqian Hu, Jie Li, and Lei Wu, “A Chance-Constrained Wind Range Quantification Approach For Determining Dynamic Uncertainty Intervals to Robust SCUC,” CSEE Journal of Power & Energy Systems, Vol. 2, No. 1, pp. 54-64, March 2016. DOI: 10.17775/CSEEJPES.2016.00009.

[J03] Jie Li, Zheng Bao, and Zuyi Li, “Modeling Demand Response Capability by Internet Data Centers Processing Batch Computing Jobs,” IEEE Transactions on Smart Grid, Vol. 6, No. 2, pp. 737-747, March 2015. DOI: 10.1109/TSG.2014.2363583.

[J02] Jichun Liu and Jie Li, “A Bi-Level Energy-Saving Dispatch in Smart Grid Considering Interaction Between Generation and Load,” IEEE Transactions on Smart Grid, Vol. 6, No. 3, pp. 1443-1452, March 2015. DOI: 10.1109/TSG.2014.2386780.

[J01] Jie Li, Zuyi Li, Kui Ren, and Xue Liu, “Towards Optimal Electric Demand Management for Internet Data Centers,” IEEE Transactions on Smart Grid, Vol. 3, No. 1, pp. 183-192, March 2012. DOI: 10.1109/TSG.2011.2165567. 

Conference:

[C31]  Chengyu Yang, R. Yesgari, V. Vora, Philip Pong, Jie Li, and Chengjun Liu, “Preventing Wildfires in Energy Transmission by Automatic Power Line Defects Detection Using Machine Learning and AI,” 2025 New Jersey Future Energy Transmission Conference. (Accepted).

[C30]  Yu Zhou, Krishna Sathvika Ganni, Jay Ashokkumar Mehta, Philip Pong, Jie Li, and Chengjun Liu, “Machine Learning and AI for Optimizing and Safeguarding Energy Transmission in Storms by Automatic Inspection of Electrical Wires,” 2025 New Jersey Future Energy Transmission Conference. (Accepted).

[C29]   Elias Nadi, Md Redwan Sammir, Zuyi Li, and Jie Li, “Maximizing Green Hydrogen Production from Offshore Wind Without Energy Storage,” 2025 IEEE PES Innovative Smart Grid Technologies - Asia, Guangzhou, China, November 2025. (Accepted).

[C28]   Gustave Van Walsen, Jie Li, and William Riddell, “ML-Assisted Multi-Temporal Weather Normalization for Commercial Building Energy Audit,” 57th North American Power Symposium (NAPS), Hartford, CT, October 2025.

[C27]   Ethan Cantor, Lauren Eckert, and Jie Li, “Data-Driven Forward-Looking Risk Assessment for Energy Security Planning,” The 2026 1st IEEE Power & Energy Society International Meeting, Hongkong, China. (Accepted)

[C26]   Ethan Cantor, William T. Riddell, Jess W. Everett, and Jie Li, “Adaptive Building Electric Load Profiling,” 55th North American Power Symposium, October 2023, Asheville, NC, USA. DOI: 10.1109/NAPS58826.2023.10318745.

[C25]   Patrick Wilk, James Fera, Yujie Yang, Ting Liu, and Jie Li, “Proactive Production Forecasting to Support Offshore Wind Development,” 2023 International Conference on Cyber-physical Social Intelligence, October 2023, Xi’an, Shannxi, China. DOI: 10.1109/ICCSI58851.2023.10303962.

[C24]   Patrick Wilk, Ethan Cantor, and Jie Li, “Net-Zero Emission for Multi-Energy Campus System,” 2023 IEEE Power & Energy Society General Meeting (PESGM), July 2023, Orlando, FL, USA. DOI: 10.1109/PESGM52003.2023.10252323.

[C23]   Nourhan Elatky, Jenny Hoang, Mason Elwell, Ronan Harkins, Juan Cruz, and Jie Li, “Developing Power Engineering Education and Learning for Next-generation Smart Grid Workforce,” 2023 ASEE Annual Conference & Exposition, June 2023, Baltimore, MD, USA.  

[C22]   Zahra Vafakhah, Thomas Brennan, Jie Li, and Mohammad Jalayer, “Zero-Emission Bus Fleet: An Optimization Model for Electric Bus Charging Station Location,” 2023 TRB Annual Meeting (Presentation).

[C21]   Patrick Wilk and Jie Li, “Coordinated Steam, Power & Emission Economic Dispatch of Multi-energy Campus Microgrids,” 53rd North American Power Symposium (NAPS), College Station, TX, November 2021. DOI: 10.1109/NAPS52732.2021.9654608.

[C20]   Jimiao Zhang and Jie Li, “Decentralized Control Coordination of PV-BSS Systems in Islanded DC Nanogrids,” 53rd North American Power Symposium (NAPS), College Station, TX, November 2021. DOI: 10.1109/NAPS52732.2021.9654706.

[C19]   Jimiao Zhang and Jie Li, “Modeling and Control of an Islanded Campus Microgrid with Coordinated CHP and PV Systems,” 2021 IEEE Power & Energy Society General Meeting (PESGM), August 2021. DOI: 10.1109/PESGM46819.2021.9637973.

[C18]   Jimiao Zhang, Jie Li, Lei Wu, Melike Erol Kantarci, and Burak Kantarci, “Hierarchical Optimal Control of the Resilient Community Microgrid in Islanded Mode,” 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, August 2019. DOI: 10.1109/PESGM40551.2019.8973952.

[C17]   Yikui Liu, Jie Li, Lei Wu, Yonghong Chen, and Fengyu Wang, “Enhanced Combined-Cycle Unit Modeling: A Study on Operation Cost and Time-Dependent Startup Cost,” 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, August 2019. DOI: 10.1109/PESGM40551.2019.8973933.

[C16]   Serhat Duman, Lei Wu, and Jie Li, “Moth Swarm Algorithm Based Approach for the ACOPF Considering Wind and Tidal Energy,” Artificial Intelligence and Applied Mathematics in Engineering Problems (ICAIAME) 2019. https://doi.org/10.1007/978-3-030-36178-5_72.

[C15]   Serhat Duman, Jie Li, and Lei Wu, “Symbiotic Organism Search Algorithm based Optimal Power Flow considering Uncertain Photovoltaic and Plug-in Electrical Vehicle System,” Artificial Intelligence and Applied Mathematics in Engineering Problems. ICAIAME 2019.

[C14]   Ahmed Omara, Michele Nogueira, Burak Kantarci, Melike Kantarci, Lei Wu, and Jie Li, “Delay Sensitivity-aware Aggregation of Smart Microgrid Data over Heterogeneous Networks,” 2019 IEEE International Conference on Communications (ICC): Communication QoS, Reliability and Modeling Symposium. DOI: 10.1109/ICC.2019.8761083.

[C13]   Yikui Liu, Lei Wu, and Jie Li, “A Novel Integer Linear Programming Based Optimal PMU Placement Model,” North American Power Symposium, Fargo, ND, September 2018. DOI: 10.1109/NAPS.2018.8600551.

[C12]   Yikui Liu, Lei Wu, and Jie Li, “SDP Based Unit Commitment Via Moment Relaxation,” North American Power Symposium, Fargo, ND, September 2018. DOI: 10.1109/NAPS.2018.8600555.

[C11]   Shengyi Wang, Jie Li, and Lei Wu, “An Integrated Distributed Economic Dispatch-Droop Control Architecture for Distribution System Operation,” IEEE PES General Meeting, Portland, OR, August 2018. DOI: 10.1109/PESGM.2018.8586122.

[C10]   Jie Li and Lei Wu, “Privacy-Preserving Economic Dispatch in Competitive Electricity Market,” 2018 IEEE PES T&D Conference & Exposition, Denver, CO, April 2018. DOI: 10.1109/TDC.2018.8440468.

[C09]   Jie Li and Zuyi Li, “Multi-Markets Bidding Strategy Considering Probabilistic Real Time Ancillary Service Deployment,” Electrical Power and Energy Conference, Ottawa, Canada, October 2016. DOI: 10.1109/EPEC.2016.7771714.

[C08]   Tom Ortmeyer, Lei Wu, and Jie Li, “Planning and Design Goals for Resilient Microgrids,” 2016 IEEE PES Innovative Smart Grid Technologies Conference, Minneapolis, MN, September 2016. DOI: 10.1109/ISGT.2016.7781248.

[C07]   Yikui Liu, Jie Li, Lei Wu, and Qingzhen Liu, “Ex-Post Real-Time Distribution LMP Based on State Estimation,” 2016 IEEE PES General Meeting, Boston, MA, July 2016. DOI: 10.1109/PESGM.2016.7741682. (Best Conference Papers Award)

[C06]   Wenbo Qi and Jie Li, “Towards Optimal Coordinated Operation of Distributed Internet Data Center Microgrids,” IEEE PES General Meeting, Boston, MA, July 2016. DOI: 10.1109/PESGM.2016.7741732.

[C05]   Jie Li, Zuyi Li, and Yaming Wang, “Optimal Bidding Strategy for Day-ahead Power Market,” North American Power Symposium, Charlotte, NC, 2015. DOI: 10.1109/NAPS.2015.7335133.

[C04]   Jin Zhou, Jie Li, Yin Ben Xia, Chun Ying, and Bin Cai, “SIP Network Discovery by Using SIP Message Probing,” The 11th IEEE/IFIP Network Operations and Management Symposium (NOMS 2008), Salvador, Brazil, April 2008. DOI: 10.1109/NOMS.2008.4575215.

[C03]   Lin Gao, Feng Gao, Xiaohong Guan, Dianmin Zhou, and Jie Li, “A Regression Algorithm Based on AdaBoost,” The Sixth World Congress on Intelligent Control and Automation, Vol. 1, pp. 4400-4404, Dalian, China, June 2006. DOI: 10.1109/WCICA.2006.1713209.

[C02]   Jie Li, Feng Gao, Xiaohong Guan, and Hui Xu, “SVR Kernel Parameters Selection Based on Steady-State Genetic Algorithm,” The Sixth World Congress on Intelligent Control and Automation, Vol. 1, pp. 4405-4409, Dalian, China, June 2006. DOI: 10.1109/WCICA.2006.1713210.

[C01]    Jie Li, Feng Gao, Xiaohong Guan, and Dianmin Zhou, “Hyper Parameters Selection for SVR Based on Steady-State Genetic Algorithm,” The 24th Chinese Control Conference, Guangzhou, China, July 2005.