Feng Li
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Cahiers du GERAD
Jan 2024
In this work, we propose a non-intrusive and training free method to detect behind-the-meter (BTM) electric vehicle (EV) charging events from the data measur...
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Feb 2023
This paper first presents a time-series impact analysis of charging electric vehicles (EVs) to loading levels of power network equipment considering stochast...
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Jan 2023
This paper presents a novel rapid estimation method (REM) to perform stochastic impact analysis of grid-edge technologies (GETs) to the power distribution ne...
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Jan 2024
Feng Li, Ilhan Kocar, and Antoine Lesage-Landry
IEEE Transactions on Power Systems, 1, 1530–1542, 2024
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Proceedings
Jun 2024
Inferring Electric Vehicle Charging Patterns from Smart Meter Data for Impact Studies
Feng Li, Élodie Campeau, Ilhan Kocar, and Antoine Lesage-Landry
23rd Power Systems Computation Conference (PSCC 2024), Saclay, France, 2024
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Jul 2023
Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives
Feng Li, Ilhan Kocar, and Antoine Lesage-Landry
2023 IEEE Power & Energy Society General Meeting, Orlando, USA, 2023
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Dec 2016
Feng Li, Roland P. Malhamé, and Jérôme Le Ny
2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, USA, 4861–4866, 2016
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