EPE 2025 - DS2i: Machine Learning | ||
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![]() | Laboratory Measurements for Machine Learning-based Modelling of LV Harmonic Sources
By Meriem ZANOUN, Éric LABOURÉ, Dung Le TRUNG, Mohamed BENSETTI, Xavier Xianjun YANG, Sébastien GOURAUD | |
Abstract: As renewable energy grows, power electronic converters increase harmonic disturbances, affecting power quality. This study introduces a novel modelling methodology based on machine learning and laboratory databases for harmonic current prediction. A model using electric vehicle charger data demonstrates promising performance. Integrating these models into low-voltage network improves frequency-domain simulation and enhances grid analysis.
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