MPPT algorithms for grid-connected solar systems including deep learning approaches

Nature·Jan 25

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Researchers are exploring the use of various algorithms, including machine learning and deep learning approaches, to improve the performance of grid-connected solar systems. Studies are comparing the effectiveness of different maximum power point tracking (MPPT) controllers and inverter control methods in these systems. The applications of these technologies include standalone PV systems with grid support, grid-connected photovoltaic converters, and PV-powered electric vehicles.

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SCIRP Open Access·Jun 15

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Nature·Nov 25

Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems

Nature·Jul 8

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