Journal of Thermal Engineering
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Predictive modeling of solar energy generation using supervised machine learning algorithms
The nonlinear and dynamic nature of solar energy generation makes effective energy management, operational planning, and grid stability challenging. Purely numerical and statistical approaches are often unable to pick up the nonlinearity in the photovoltaic power generation. The present work tests t
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