
A novel adaptive regulated sparse regression (ARSR) algorithm is developed to efficiently identify the dynamics of single-stage and two-stage grid-connected solar photovoltaic (PV) systems from measurement data, enabling accurate data-driven modeling and control design.


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data-driven-modeling-and-control-of-grid-connected-solar-photovoltaic-generation-systems


Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation Systems
