Jie Li, Ph.D., SMIEEE
Associate Professor and Graduate Coordinator
Electrical and Computer Engineering
Rowan University
Jie Li, Ph.D., SMIEEE
Associate Professor and Graduate Coordinator
Electrical and Computer Engineering
Rowan University
Selected Presentations:
[P12] Electricity Market Preparedness and Technology Solution for Offshore Wind Integration, Xi’an Jiao Tong University, China, September 2025.
[P11] Advanced Capacity Accreditation of Offshore Wind for Improved System Reliability, Netherlands - US knowledge exchange on “Offshore Wind Transmission” in American Clean Power Association (ACP) 2024 Offshore WINDPOWER Conference & Exhibition, Atlantic City, October 2024.
[P10] Wholesale Market Preparedness for Offshore Wind Participation, New Jersey Offshore Wind Technology Conference, New Jersey Institute of Technology, December 2023.
[P9] A Closed-loop Power Engineering Education and Learning for Next-generation Smart Grid Workforce, Panel on Challenges and Opportunities in Power Engineering Education at Primarily Undergraduate Institutions, 2023 IEEE PES General Meeting, Orlando, Florida, July 2023.
[P8] Power Engineering Education and Learning for Next-Generation Smart Grid Workforce, ASEE Annual Conference & Exposition, Baltimore, MD, June 2023.
[P7] Electric Load Management with Schedule Cooperation between Smart Buildings and E-Buses, 2021 International Conference on Cyber-physical Social Intelligence, December 2021.
[P6] IT Network Monitoring Best Practices in Power Systems Cybersecurity, Protect Our Power, March 2021.
[P5] Multi-Stage and Multi-Timescale Robust Co-Optimization Planning for Reliable and Sustainable Power Systems, U. S. Department of Energy, Office of Electricity Delivery and Energy Reliability, November 2020
[P4] Research Gaps and Opportunities in Integrated Power and Transportation Systems, NJ Smart Mobility Workshop, March 2020
[P3] Towards Optimal Operation of Data Center Microgrids, 2018 International Green and Sustainable Computing Conference (IGSC), Pittsburg, PA, October 2018.
[P2] Data Mining-Based Distribution System State Estimation, EPRI Data Mining Initiative, May 2018.
[P1] Multi-market Bidding Strategy Considering Probabilistic Real Time Ancillary Service Deployment, EPEC 2016, Ottawa, Canada, October 2016.