[1]
“Geographically agnostic machine learning model for forecasting solar irradiance”, Trans. Energy Syst. Eng. Appl., vol. 7, no. 1, pp. 1–19, Apr. 2026, doi: 10.32397/tesea.vol7.n1.864.