An LSTM-Based Approach for Short-Term Solar Power Forecasting with Diurnal and Intra-Day Variability. Bulletin of Intelligent Machines and Algorithms, [S. l.], v. 1, n. 2, p. 37–44, 2026. DOI: 10.65780/bima.v1i2.7. Disponível em: https://cendikiainovasi.org/BIMA/index.php/AI/article/view/7. Acesso em: 9 feb. 2026.