Chemistry

Atmospheric Chemistry and Solar Power Generation

In this study, a Bayesian mixed effects model was developed to assess how meteorological variables and air pollution affect solar energy generation, using ground-based observations and satellite-derived atmospheric data. . This study investigated the impact of aerosol load on the energy generation of a grid-connected photovoltaic system located in the Serra de São Vicente, approximately 70 km from Cuiabá, Mato Grosso, in the Brazilian Cerrado, an area with a high occurrence of seasonal wildfires. The Bayesian framework incorporates prior knowledge, quantifies uncertainty. . The SolarSG-Net is a new hybrid forecasting framework proposed in this study, which consists of Savitzky–Golay (SG), Principal Component Analysis (PCA), and Bidirectional Long Short-Term Memory (BiLSTM). The SG filter significantly improves data quality and removes high-frequency sensor noise while. . Imagine Earth's atmosphere as a fussy cocktail mixer - sometimes it serves up crystal-clear sunlight martinis, other times it's handing out murky pollutant mojitos that leave your solar panels hungove Let's be real - when most people think about solar power, they picture shiny panels soaking up. .