Photovoltaic (PV)
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Maximum Power Point Tracking of PV, Wind System Using Deep Learning Approach
Abstract: The mixing of renewable liveliness fonts, especially photovoltaic (PV) and gale schemes, has faster due to the rising call for fresh and supportable liveliness on a total rule. In the extended lane, these bases are cheap, copious, and naturally kind. Yet, they are basically irregular and nonlinear unpaid to them from top to bottom trust on ecofriendly variable star like fever, gale rapidity, and astral irradiance. Extreme Power Point Tracking …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Harmonic Minimization and Voltage Boosting In PV-based Multilevel Inverter Using Advanced Deep Learning Approach
Abstract: The integration of photovoltaic (PV) systems with multilevel inverters has gained significant attention due to their capability of producing smooth output waveforms with fewer distortions. However, conventional modulation and optimization techniques often face limitations in minimizing total harmonic distortion (THD) while simultaneously improving voltage levels under varying solar irradiance conditions. To address these issues, this work proposes an advanced deep learning-based framework for harmonic minimization and voltage boosting in PV-driven …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article