Research Output per Year
Research Output per Year
Overview
Personal Profile
Mingzhi Zhang specializes in electric vehicle (EV) grid integration, with extensive experience in EV smart charging control, distribution system modeling and control, advanced distribution management systems, and distributed energy resources integration.
Research Interests
Electric vehicle grid integration
Distributed energy resources
Distribution
Carbon
Energy market
Artificial intelligence/machine learning/reinforcement learning
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado
Liu, Z., Alexeenko, P., Bruchon, M., Zhang, M. & Kisacikoglu, M. J., 2024. 6 p.Research output: Contribution to conference › Paper
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Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado: Preprint
Liu, Z., Alexeenko, P., Bruchon, M., Zhang, M. & Kisacikoglu, M. J., 2024. 9 p.Research output: Contribution to conference › Paper
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Electric Vehicles at Scale (EVs@Scale) Laboratory Consortium Deep-Dive Technical Meeting: May 18, 2023
Harper, J., Ghosh, S., Zhang, M., Sundarrajan, M. K. C., Lohse, J. & Edie, C.-A., 2023, 107 p.Research output: NREL › Presentation
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Grid Impact Analysis and Mitigation of En-Route Charging Stations for Heavy-Duty Electric Vehicles
Zhu, X., Mishra, P., Mather, B., Zhang, M. & Meintz, A., 2023, In: IEEE Open Access Journal of Power and Energy. 10, p. 141-150 10 p.Research output: Contribution to journal › Article › peer-review
7 Scopus Citations -
EVs@Scale Deep Dive - SCM/VGI (Day 1: SCM/VGI Analysis)
Meintz, A., Bennett, J., Liu, Z., Borlaug, B., Zhang, M., Jones, C., Ghosh, S., Panossian, N., Pennington, T. & Sundarrajan, M., 2022, 72 p.Research output: NREL › Presentation