Simon Onuwa Agbonifo

Modeling Atmospheric Radiative Transfer for Solar Energy Harvesting: A Chemical-Informed Deep Learning Approach with CNN-LSTM-Attention Networks

Accurate prediction of solar irradiance is fundamentally a problem of modeling radiative transfer through a dynamic, multi-component chemical system—the atmosphere. Variability in atmospheric composition and physical state, dictated by parameters like humidity, pressure, and aerosol content, poses a significant chal...