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Advanced intelligent control for photovoltaic-vehicle-to-grid integration

Introduction. The increasing penetration of electric vehicles (EVs) and renewable energy has intensified concerns about grid stability and energy sustainability. Integrating photovoltaic (PV) systems with vehicle-to-grid (V2G) technology provides a promising solution but requires efficient energy ma...

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Bibliographic Details
Date:	2026
Main Authors:	Lachheb, A., Chrouta, J., Telmoudi, A. J., Zaafouri, A.
Format:	Article
Language:	English
Published:	National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2026
Subjects:	artificial neural network terminal sliding mode control fuzzy logic maximum power extraction renewable energy
Online Access:	https://eie.khpi.edu.ua/article/view/343893
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Journal Title:	Electrical Engineering & Electromechanics
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Electrical Engineering & Electromechanics

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