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 EPE 2025 - DS2i: Machine Learning 
 You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 04: Digitalization: the Powerful Fusion of AI and IoT for Sustainability > 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 
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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.