Hence, this study proposes the Extreme Gradient Boosting regression-based Solar Photovoltaic Power Generation Prediction (XGB-SPPGP) model to predict and classify the usage of solar power successfully with minimal error. . Introduction: Solar photovoltaic (PV) power generation, a crucial part of global renewable energy, has been advancing swiftly. However, effective promotion of PV generation relies not only on enhancing generation efficiency but also on thorough evaluations of construction suitability. This study. . els, further producing clean and environmentally friendly electricity. Rapid solar capacity expansion overwhelms the grid, PV manufacturers compete for market shares, and then large target markets slap import tariffs on Chinese PV products, taking off their competitive edge. PV generates electricity using the conducting properties of certain chemicals most importantly ilicon,through the photo-electric e solar irradiance to produce electricity. 46 In 2021, 53 GW of solar power capacity was added in China—40% of the global total.
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